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java.lang.Object android.support.v4.view.ActionProvider android.support.v7.app.MediaRouteActionProvider
public class MediaRouteActionProvider
The media route action provider displays a media route button
in the application's ActionBar
to allow the user to select routes and
to control the currently selected route.
The application must specify the kinds of routes that the user should be allowed
to select by specifying a selector
with the
setRouteSelector(android.support.v7.media.MediaRouteSelector)
method.
Refer to MediaRouteButton
for a description of the button that will
appear in the action bar menu. Note that instead of disabling the button
when no routes are available, the action provider will instead make the
menu item invisible. In this way, the button will only be visible when it
is possible for the user to discover and select a matching route.
To use the media route action provider, the activity must be a subclass of
ActionBarActivity
from the android.support.v7.appcompat
support library. Refer to support library documentation for details.
The application should define a menu resource to include the provider in the action bar options menu. Note that the support library action bar uses attributes that are defined in the application's resource namespace rather than the framework's resource namespace to configure each item.
<menu xmlns:android="http://schemas.android.com/apk/res/android" xmlns:app="http://schemas.android.com/apk/res-auto"> <item android:id="@+id/media_route_menu_item" android:title="@string/media_route_menu_title" app:showAsAction="always" app:actionProviderClass="android.support.v7.app.MediaRouteActionProvider"/> </menu>
Then configure the menu and set the route selector for the chooser.
public class MyActivity extends ActionBarActivity { private MediaRouter mRouter; private MediaRouter.Callback mCallback; private MediaRouteSelector mSelector; protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); mRouter = Mediarouter.getInstance(this); mSelector = new MediaRouteSelector.Builder() .addControlCategory(MediaControlIntent.CATEGORY_LIVE_AUDIO) .addControlCategory(MediaControlIntent.CATEGORY_REMOTE_PLAYBACK) .build(); mCallback = new MyCallback(); } // Add the callback on start to tell the media router what kinds of routes // the application is interested in so that it can try to discover suitable ones. public void onStart() { super.onStart(); mediaRouter.addCallback(mSelector, mCallback, MediaRouter.CALLBACK_FLAG_REQUEST_DISCOVERY); MediaRouter.RouteInfo route = mediaRouter.updateSelectedRoute(mSelector); // do something with the route... } // Remove the selector on stop to tell the media router that it no longer // needs to invest effort trying to discover routes of these kinds for now. public void onStop() { super.onStop(); mediaRouter.removeCallback(mCallback); } public boolean onCreateOptionsMenu(Menu menu) { super.onCreateOptionsMenu(menu); getMenuInflater().inflate(R.menu.sample_media_router_menu, menu); MenuItem mediaRouteMenuItem = menu.findItem(R.id.media_route_menu_item); MediaRouteActionProvider mediaRouteActionProvider = (MediaRouteActionProvider)MenuItemCompat.getActionProvider(mediaRouteMenuItem); mediaRouteActionProvider.setRouteSelector(mSelector); return true; } private final class MyCallback extends MediaRouter.Callback { // Implement callback methods as needed. } }
setRouteSelector(android.support.v7.media.MediaRouteSelector)
| Nested Class Summary |
|---|
| Nested classes/interfaces inherited from class android.support.v4.view.ActionProvider |
|---|
android.support.v4.view.ActionProvider.SubUiVisibilityListener, android.support.v4.view.ActionProvider.VisibilityListener |
| Constructor Summary | |
|---|---|
MediaRouteActionProvider(android.content.Context context)
Creates the action provider. |
| Method Summary | |
|---|---|
MediaRouteDialogFactory |
getDialogFactory()
Gets the media route dialog factory to use when showing the route chooser or controller dialog. |
MediaRouteButton |
getMediaRouteButton()
Gets the associated media route button, or null if it has not yet been created. |
MediaRouteSelector |
getRouteSelector()
Gets the media route selector for filtering the routes that the user can select using the media route chooser dialog. |
boolean |
isVisible()
|
android.view.View |
onCreateActionView()
|
MediaRouteButton |
onCreateMediaRouteButton()
Called when the media route button is being created. |
boolean |
onPerformDefaultAction()
|
boolean |
overridesItemVisibility()
|
void |
setDialogFactory(MediaRouteDialogFactory factory)
Sets the media route dialog factory to use when showing the route chooser or controller dialog. |
void |
setRouteSelector(MediaRouteSelector selector)
Sets the media route selector for filtering the routes that the user can select using the media route chooser dialog. |
| Methods inherited from class android.support.v4.view.ActionProvider |
|---|
getContext, hasSubMenu, onCreateActionView, onPrepareSubMenu, refreshVisibility, setSubUiVisibilityListener, setVisibilityListener, subUiVisibilityChanged |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public MediaRouteActionProvider(android.content.Context context)
context
- The context.| Method Detail |
|---|
public MediaRouteSelector getRouteSelector()
public void setRouteSelector(MediaRouteSelector selector)
selector
- The selector, must not be null.public MediaRouteDialogFactory getDialogFactory()
public void setDialogFactory(MediaRouteDialogFactory factory)
factory
- The dialog factory, must not be null.public MediaRouteButton getMediaRouteButton()
public MediaRouteButton onCreateMediaRouteButton()
Subclasses may override this method to customize the button.
public android.view.View onCreateActionView()
onCreateActionView
in class android.support.v4.view.ActionProvider
public boolean onPerformDefaultAction()
onPerformDefaultAction
in class android.support.v4.view.ActionProvider
public boolean overridesItemVisibility()
overridesItemVisibility
in class android.support.v4.view.ActionProvider
public boolean isVisible()
isVisible
in class android.support.v4.view.ActionProvider
|
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The Scope For Value Addition
Capacity building development
-
Enabling local artisans to turn their skill into a sustainable vocation.
-
Ensuring cluster development among craft and handloom weaving communities, within the
reach of prime
beneficiaries.
-
Conducting design thinking workshops for various Indian craft communities.
Marketplace development
-
E-commerce website development for rural enterprises.
-
Promoting their interaction and skills in public space.
-
Increase civic participation through various exhibitions, annual or seasonal events.
-
Engaging local youth in the community and enhance their technical skills & knowledge.
-
Giving visibility to traditional artists, craftsmen, cultures through a platform.
Documentation
-
Documenting strategic and creative processes of development sector projects which
include process
documentation, subject selection, well defining of key indicators, knowledge of
research, writing
skills & ethical approach and seeing them to completion with desired results.
-
Video/photo documentation of development projects, beneficiary experiences, project
impact assessment
and success stories, crafts and case studies.
Product development for
social needs
-
Working within our team and with various social ventures, communities, rural
entrepreneurs and social
innovators to create design experiences.
-
Providing research-led, sustainable and human-centric design approach to build products
and user
interactive spaces.
-
Branding identities.
-
Implementing projects in the field of arts, crafts, cultures, spaces and streets,
innovation and
rural entrepreneurship.
Implementation
-
Overseeing implementation and monitoring of CSR projects, NGOs initiatives, Government
projects,
startup ideas and design led innovation projects.
-
Implementing projects in the field of arts, crafts, cultures, spaces and streets,
innovation and
rural entrepreneurship.
-
Working closely with the leadership and program teams of various stakeholders, funders,
researchers
and
academicians.
-
Leading the development, adaptation, testing and mainstreaming of best/good practices
which are
required within design led social projects.
Awareness campaigns
-
Designing social media campaigns to create awareness regarding social and
cultural causes.
-
Conducting workshops and meets to address socially relevant issues in collaboration.
Contact Us
Ankit Kumar (+91) 77548 32442
samatvaindiadesign@gmail.com


Hello, everyone!
Since most of us spend about 2 decades in the school, I believe you must know the school very well, and you have something to say. So, let's talk about the school and education. Every kid needs a champion | Rita Pierson
As you are an adult now, you must reconize that those years mean a lot to you now. First part we will go through your past to know the old school, also to find out what is your school?
Education 獨立特派員 第426集 (奧地利‧天賦) What is education? What is the purpose? Should the education server the people or the country? private and public personal country freedom not fair not equality obligation server to the country fair I am thinking about those questions.
Through above which i mentioned, right now, let's deal with the reality. How should we do to achieve the Education
adult education Sometimes I found people just getiing old, but they don't become a better person or mature. Also we can get a lot information through the internet now, but not everyone has the ability to choose what to believe. Time flys things change but some people do not change the way of living, eg: because of the technonlogy, we can catch more fish than before, but we catch too much, people know it, but they don't change their behavir. I remember a interview form a fishman, he said even he does not catch those fish, other people will still catch the fish. i can understand about this. Some people just use the old rule to face the new world, teacher is always right, or parents are always right we use len to watch some specific people, eg teacher must be perfect person harvard open class about justice Justice: What's The Right Thing To Do? Episode 01 "THE MORAL SIDE OF MURDER" i feel this class should not be close in the school if everyone in the world can access this kind of interaction right now, the knowledge is not preivegag of some people it is like everyone can access whatever they want We ask people "How old are you?" and the response "I am 10 years old". But in Spanish, we say "Cuantos años tiene?",and the response "tengo 10 años." in English is "How many years do you have?", "I have 10 years." which make me feel one is we own the time, i have 10 years time. another sense is I have 10 years experience about living in the world.
Is is education or school good? Is it a process to train people? like training animal. The system want everybody think in some way to maintain the system. sometimes I think this way, is it really i think in this way or someone else want me to think in that way?
It's getting cold now, I will prepared hot bervage for whom show up.


AWS::GameLift::Script
The AWS::GameLift::Script
resource creates a new script record for your
Realtime Servers script. Realtime scripts are JavaScript that provide configuration settings
and optional custom game logic for your game. The script is deployed when you create a
Realtime Servers fleet to host your game sessions. Script logic is executed during an active
game session.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::GameLift::Script", "Properties" : { "Name" :
String
, "StorageLocation" :S3Location
, "Tags" :[ Tag, ... ]
, "Version" :String
} }
YAML
Type: AWS::GameLift::Script Properties: Name:
String
StorageLocation:S3Location
Tags:- Tag
Version:String
Properties
Name
-
A descriptive label that is associated with a script. Script names do not need to be unique.
Required: No
Type: String
Minimum:
1
Maximum:
1024
Update requires: No interruption
StorageLocation
-
The location of the Amazon S3 bucket where a zipped file containing your Realtime scripts is stored. The storage location must specify the Amazon S3 bucket name, the zip file name (the "key"), and a role ARN that allows Amazon GameLift to access the Amazon S3 storage location. The S3 bucket must be in the same Region where you want to create a new script. By default, Amazon GameLift uploads the latest version of the zip file; if you have S3 object versioning turned on, you can use the
ObjectVersion
parameter to specify an earlier version.Required: Yes
Type: S3Location
Update requires: No interruption
Tags
-
A list of labels to assign to the new script resource. Tags are developer-defined key-value pairs. Tagging AWS resources are useful for resource management, access management and cost allocation. For more information, see Tagging AWS Resources in the AWS General Reference. Once the resource is created, you can use TagResource, UntagResource, and ListTagsForResource to add, remove, and view tags. The maximum tag limit may be lower than stated. See the AWS General Reference for actual tagging limits.
Required: No
Type: List of Tag
Maximum:
200
Update requires: No interruption
Version
-
The version that is associated with a build or script. Version strings do not need to be unique.
Required: No
Type: String
Minimum:
1
Maximum:
1024
Update requires: No interruption
Return values
Ref
When you pass the logical ID of this resource to the intrinsic Ref
function, Ref
returns the ScriptId
, such as
script-1111aaaa-22bb-33cc-44dd-5555eeee66ff
.
For more information about using the Ref
function, see Ref.
Fn::GetAtt
The Fn::GetAtt
intrinsic function returns a value for a specified attribute of this type. The following are the available attributes and sample return values.
For more information about using the Fn::GetAtt
intrinsic function, see Fn::GetAtt.
Examples
Create a Realtime Servers Script
The following example creates a GameLift script named MyRealtimeScript
.
The zipped script files are located in an S3 bucket, specified by the
S3Bucket
and S3Key
input parameters. The example also creates
the AWS Identity and Access Management role that GameLift assumes so that it has
permissions to download the script files.
JSON
{ "Resources": { "IAMRole": { "Type": "AWS::IAM::Role", "Properties": { "AssumeRolePolicyDocument": { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": [ "cloudformation.amazonaws.com", "gamelift.amazonaws.com" ] }, "Action": "sts:AssumeRole" } ] }, "RoleName": "ScriptIAMRole", "Policies": [ { "PolicyName": "ScriptResourceIAMPolicy", "PolicyDocument": { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "s3:GetObject", "s3:GetObjectVersion", "s3:GetObjectMetadata", "s3:*Object*" ], "Resource": [ "*" ] } ] } } ] } }, "ScriptResource": { "Type": "AWS::GameLift::Script", "Properties": { "Name": "MyRealtimeScript", "Version": "v1.0", "StorageLocation": { "Bucket": "MyBucketName", "Key": "MyScriptFiles.zip", "RoleArn": { "Fn::GetAtt": [ "IAMRole", "Arn" ] } } } } } }
YAML
Resources: IAMRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: "Allow" Principal: Service: ["cloudformation.amazonaws.com", "gamelift.amazonaws.com"] Action: "sts:AssumeRole" RoleName: "ScriptIAMRole" Policies: - PolicyName: ScriptResourceIAMPolicy PolicyDocument: Version: '2012-10-17' Statement: - Effect: Allow Action: - "s3:GetObject" - "s3:GetObjectVersion" - "s3:GetObjectMetadata" - "s3:*Object*" Resource: - "*" ScriptResource: Type: AWS::GameLift::Script Properties: Name: MyRealtimeScript Version: v1.0 StorageLocation: Bucket: "MyBucketName" Key: "MyScriptFiles.zip" RoleArn: !GetAtt IAMRole.Arn
See also
Create GameLift resources using Amazon CloudFront in the Amazon GameLift Developer Guide
-
Upload script files in Amazon S3 in the Amazon GameLift Developer Guide
CreateScript in the Amazon GameLift API Reference


Financial Reports
Beta
Here you can quickly see where your association's money is going and coming from.
Income by Category
There is no income for the selected date range.
{{$index + 1}}. {{curEntry.parentFinancialCategoryName}} {{curEntry.amount | currency}}
Expense by Category
There are no expenses for the selected date range.
{{$index + 1}}. {{curEntry.parentFinancialCategoryName}} {{curEntry.amount | currency}}
Account Balances Over Time
You need at least 2 months of balance data to view this chart.
Current Balances
{{curBalance.ledgerAccountName}} {{curBalance.amount | currency}}


Notebooks
Story: Tools: a note
Tools: a note
Title
Tools: a note
Collection
Summary
About tools, implements and artefacts used by the |xam. These include a brush called |ku, made of |gipp (striped jackal) hair, and its uses; a gemsbok's rib used for peeling and eating |kui, and its markings. An ostrich bone is used for piercing mats and baskets; the making and use of a pipe made of kid's bone; a woman's digging stick made from the !kwa !kwa tree, the point made of a springbok's horn and used for digging as well as stirring the fire. A digging stick is thrust into a bored stone.
Comments
1) Date on p.1122v (note added): 'K.J. 22 Oct 1879' ('K.J' refers to Klein Jantje or |han≠kass'o), 2) This story is found in Book 12 (XII)
Contributors
Date
October 1872
Categories
Custom and daily life, Artefact and dress
Keywords
tools (and implements and artefacts used by the |xam) , tools (making of) , tools (cooking and eating utensils) , tools (brushes) , tools (mats) , tools (pipe) , tools (baskets) , tools (digging stick) , brush (and tools) , brush (used by the |xam) , brush (name of) , brush (uses of) , brush (making of) , brush (|ku) , brush (from animal hair) , brush (from |gipp hair) , brush (handle of) , brush (from !nabbe stem) , brush (from thorn-bush) , brush (with springbok neck sinew binding) , cooking utensil (and tools used by the |xam) , cooking utensil (and women) , cooking utensil (pot as) , cooking utensil (eating and) , cooking utensil (gemsbok's rib as) , cooking utensil (ostrich bone as) , plants (|kui) , plants (edible) , plants (thorn-bush) , plants (!nabbe) , plants (names of) , plants (and tools used by the |xam) , mats (and tools used by the |xam) , mats (an ostrich bone is used for piercing) , baskets (and tools used by the |xam) , baskets (an ostrich bone is used for piercing) , pipe (from kid's bone) , pipe (and tools used by the |xam) , digging stick (!kwa !kwa wood) , digging stick (from springbok's horn point) , digging stick (and tools used by the |xam) , digging stick (is thrust into a bored stone) , tree (!kwa !kwa) , tree (and tools used by the |xam) , bush (thorn-bush) , bush (!nabbe) , bush (brush-handle made from its wood) , bush (and tools used by the |xam) , food (ant eggs) , food (|kui) , food ('Bushman rice') , food (and tools used by the |xam) , food (eaten by the |xam) , food (and digging) , fire (making of) , fire (and tools used by the |xam) , stone (of digging stick) , stone (and tools used by the |xam) , stone (bored) , women (work of) , women (digging by) , women (cooking) , women (hunting by) , women (digging stick used by) , women (and tools used by the |xam) , women (and finding food) , Bushman rice (digging for) , Bushman rice (and tools used by the |xam) , Bushman rice (and food eaten by the |xam) , name (of bushes and trees used to make tools used by the |xam) , name (of edible plants) , name (of animals and animal-parts used in tools made by the |xam) , springbok (horn point used in digging stick) , springbok (horn point used for digging and stirring the fire) , springbok (neck sinew used for binding brush) , springbok (and tools used by the |xam) , gemsbok (rib used as cooking and eating utensil) , gemsbok (and tools used by the |xam) , ostrich (its bone is used for piercing mats and baskets) , animal (hair and parts used in tools made by the |xam)
Story Pages
1121opp, 1121v-1124v


Developers trust more in other developer's opinion
We help other developers try our products
We're listening you! ❤
Software Evangelists participate in every Meetup and Conference it can!
And sometimes they are abroad!
We shall not hate our competition
But use feedback to improve ourselves
You can read more here:
http://developer-evangelism.com/
We're Hiring!
David Litvak Bruno (@dlitvakb) david.litvak@contentful.com


Multi Variable Linear Regression
21 Mar 2018Multi Variable Regression
In chapter 2.1 we learned the basics of PyTorch by creating a single variable linear regression model. In this chapter we expand this model to handle multiple variables. Note that less time will be spent explaining the basics of PyTorch: only new concepts will be explained, so feel free to refer to previous chapters as needed.
Motivation
Recall that a single variable linear regression model can learn to predict an output variable \(y\) under these conditions:
- There is only one input variable, \(x\)
- There is a linear relationship between \(y\) and \(x\), that is, \(y \approx ax + b\)
In practice, the above conditions are very limiting: if you have a simple data set then by all means you should try using single variable linear regression, but in most cases we have significantly more complex data. For example, consider using the following (abbreviated) data from the 1990 census to learn to predict housing prices. Note that each row represents a single housing district:
| House Median Age | Total Rooms | Total Bedrooms | ... | Median House Value |
|---|---|---|---|---|
| 41.0 | 880.0 | 129.0 | ... | 452600.0 |
| 21.0 | 7099.0 | 1106.0 | ... | 358500.0 |
| 52.0 | 1467.0 | 190.0 | ... | 352100.0 |
| 52.0 | 1274.0 | 235.0 | ... | 341300.0 |
| 52.0 | 1627.0 | 280.0 | ... | 342200.0 |
| 52.0 | 919.0 | 213.0 | ... | 269700.0 |
| ... | ... | ... | ... | ... |
To predict the values of houses, we have at least 3 real-valued variables (age, number of rooms, number of dedrooms) that could potentially be useful. To analyze this sort of complex, real-world data we need to learn to handle multiple input variables.
One approach to handling multiple variables would be to reduce the number of input variables to only 1 variable, and then training a single variable linear regression model using that. In fact, an important area of research in machine learning (and one that will be covered later) called dimensionality reduction deals with this problem of reducing the number of variables. However, it's important to realize that the number of variables can only be reduced so far, and its extremely rare that you can reduce a data set to only 1 variable. For now you need to take this statement on faith, but in later chapters we will investigate it more thoroughly.
So, it seems that we will have to deal with training models that can handle multiple variables. In this chapter we learn how to allow multiple input variables in our linear regression model. Such a model is called multi variable linear regression, or just linear regression.
Theory
Most of the theory is similar to the theory for single variable linear regression, but we will need to augment and generalize it to handle multiple variables.
Data set format
Previously we defined our data set \(D\) as consisting of many example pairs of \(x\) and \(y\), where \(m\) is the number of examples: \[ D = \{ (x^{(1)}, y^{(1)}), (x^{(2)}, y^{(2)}), \cdots, (x^{(m)}, y^{(m))} \} \]
Note that I have changed the notation compared to before. The notation \(x^{(i)}\) refers to the \(i\)'th \(x\) training example, it does NOT mean \(x\) to the \(i\)'th power, which would be written as \(x^i\). I promise the notation change will be useful shortly.
Alternatively, we can write \(D\) as 2 vectors of shape 1 x \(m\): \[ D_x = \begin{bmatrix} x^{(1)}, x^{(2)}, \dots, x^{(m)} \end{bmatrix} \\ D_y = \begin{bmatrix} y^{(1)}, y^{(2)}, \dots, y^{(m)} \end{bmatrix} \]
But now, we need each \(x^{(i)}\) example to contain multiple numbers, one for each input variable. Let \(n\) be the number of input variables. Then the easiest way to write this is to let each \(x^{(i)}\) be a vector of shape \(n\) x 1. That is, \[ x^{(i)} = \begin{bmatrix} x^{(i)}_1 \\ x^{(i)}_2 \\ \vdots \\ x^{(i)}_j \\ \vdots \\ x^{(i)}_n \end{bmatrix} \] Note that the notation \(x^{(i)}_j\) denotes the \(j\)'th input variable in the \(i\)'th example data.
Since each \(x^{(i)}\) has \(n\) rows, and \(D_x\) has \(m\) columns, each of which is an \(x^{(i)}\), we can write \(D_x\) as a massive \(n \times m\) matrix: \[ D_x = \begin{bmatrix} x^{(1)}, x^{(2)}, \dots, x^{(m)} \end{bmatrix} = \begin{bmatrix} x^{(1)}_1 & x^{(2)}_1 & \dots & x^{(i)}_1 & \dots & x^{(m)}_1 \\ x^{(1)}_2 & x^{(2)}_2 & \dots & x^{(i)}_2 & \dots & x^{(m)}_2 \\ \vdots & \vdots & \ddots & \vdots & \ddots & \vdots \\ x^{(1)}_j & x^{(2)}_j & \dots & x^{(i)}_j & \dots & x^{(m)}_j \\ \vdots & \vdots & \ddots & \vdots & \ddots & \vdots \\ x^{(1)}_n & x^{(2)}_n & \dots & x^{(i)}_n & \dots & x^{(m)}_n \\ \end{bmatrix} \] So, each column of \(D_x\) represents a single input data example. We don't need to change the 1 x \(m\) vector \(D_y\), since we still only have 1 output variable.
Model concept
So, we now have an input data matrix \(D_x\) with each column vector representing a single input data example, and we have the corresponding \(D_y\) row vector, each entry of which is an output data example. How do we define a model which can linearly estimate the output \(y'^{(i)}\) given the input data vector \(x^{(i)}\)? Let's build it up from simple concepts, and build towards more complex linear algebra.
Since we want \(y'^{(i)}\) to depend linearly on each \(x^{(i)}_j\) for \(1 \leq j \leq n\), we can write: \[ y'^{(i)} = a_1 x^{(i)}_1 + a_2 x^{(i)}_2 + \cdots + a_j x^{(i)}_j + \cdots + a_n x^{(i)}_n + b \]
This is fine mathematically, but it's not very general. Suppose \(n = 100\): then we would have to literally write out 100 terms in our PyTorch code. We can generalize this using linear algebra. Let \(A\) be a row vector of shape 1 x \(n\), containing each \(a_j\): \[ A = \begin{bmatrix} a_1, a_2, \cdots, a_j, \cdots, a_n \end{bmatrix} \]
Now, let's see what happens if we compute \(A x^{(i)}\), as matrix multiplication. Note that \(A\) has shape 1 x \(n\) and \(x^{(i)}\) has shape \(n\) x 1. This is perfect! When performing matrix multiplication, the inner dimensions (in this case \(n\) and \(n\)) have to match, and the outer dimensions (in this case \(1\) and \(1\)) determine the output shape of the multiplication. So \(A x^{(i)}\) will have shape 1 x 1, or in other words, just a single number, in fact it is exactly \(y'^{(i)}\). How does this matrix multiplication exactly work? I'll refer you to this video by Khan Academy, and explain it briefly in this case. Here, it is easier since \(A\) is a row vector, and \(x^{(i)}\) is a column vector. We simply multiply each corresponding entry, and add it all up: \[ A x^{(i)} + b = \begin{bmatrix} a_1, a_2, \cdots, a_j, \cdots, a_n \end{bmatrix} \begin{bmatrix} x^{(i)}_1 \\ x^{(i)}_2 \\ \vdots \\ x^{(i)}_j \\ \vdots \\ x^{(i)}_n \end{bmatrix} + b = a_1 x^{(i)}_1 + a_2 x^{(i)}_2 + \cdots + a_j x^{(i)}_j + \cdots + a_n x^{(i)}_n + b = y'^{(i)} \]
This matrix equation, \(y'(x, A, b) = Ax + b\) is exactly what we want as our model. As one final note, recall that in the actual implementation, we don't want \(x\) and \(y'\) to represent just one input data and predicted output, we want them to represent several. Since \(x\) is a column vector, the natural way to represent multiple input data points is with a matrix, very similar to the matrix \(D_x\), just not necessarily with all the columns of \(D_x\), and \(y'\) should be a row vector. Specifically, \(A\) has shape 1 x \(n\), \(x\) has shape \(n\) x \(m\), and \(y\) has shape 1 x \(m\), where \(m\) is the number of data points.
Now defining the loss function is pretty much the same as before, just using the new model: \[ L(A, b) = \sum_{i=1}^m (y'(x^{(i)}, A, b) - y^{(i)})^2 = \sum_{i=1}^m (A x^{(i)} + b - y^{(i)})^2 \]
To minimize the loss function, we use the same process as before, gradient descent. However, previously the gradient descent was altering 2 variables (\(a\) and \(b\)) so as to minimize the loss function, and so we could plot the loss function and gradient descent progress in terms of \(a\) and \(b\). However, now the optimization needs to alter many more variables, since \(A\) actually contains \(n\) variables, the gradient descent must be performed in \(n+1\) dimensional space, and we don't have an easy way to visualize this.
With the more general linear algebra formulation of linear regression under our belts, let's move on to actually coding stuff.
Implementation
As before, we need to: import data, define the model, define the loss function, run gradient descent, and finally make predictions. Many steps will be similar to the single variable case, but for completeness I will walk through them briefly.
For building and testing the implementation we will use a synthetic data set consisting of \(n=2\) input variables. You can download the synthetic data set here. By synthetic, I mean that I purposefully created a very nicely behaved data set so that we can practice implementing multi variable linear regression, and verify that we converged to the right answer. In fact, the synthetic data is generated as \(y = 2x_1 + 1.3x_2 + 4 + \varepsilon \) where \(\varepsilon\) is random noise. If we implement multi variable linear regression correctly, then we should obtain approximately \(A = \begin{bmatrix} 2, 1.3 \end{bmatrix}, b = 4\). This plot illustrates what the data looks like in 3 dimensions, essentially a plane in 3 dimensions with some random fluctuations:
Importing the data
As explained above, the input data set can be organized as an \(n \times m\) matrix. Since we will load the entire data set (input and output) from a single CSV file, and we have 2 input variables, the CSV file will contain 3 columns: the first 2 are the input variables, and the last one is the output variable. So, first we load the CSV file into an \(m\) x 3 matrix, and then separate the first 2 columns from the last:
import pandas as pd
import matplotlib.pyplot as plt
import torch
import torch.optim as optim
### Load the data
# First we load the entire CSV file into an m x 3
D = torch.tensor(pd.read_csv("linreg-multi-synthetic-2.csv", header=None).values, dtype=torch.float)
# We extract all rows and the first 2 columns, and then transpose it
x_dataset = D[:, 0:2].t()
# We extract all rows and the last column, and transpose it
y_dataset = D[:, 2].t()
# And make a convenient variable to remember the number of input columns
n = 2
The syntax D[:, 0:2]
might be new, particularly if you haven't worked with Python much before. In the single variable implementation we used Panda's functionality to access the columns by column name. This is a great approach, but sometimes you might need to be more flexible in how you access columns of data.
Note: The basic syntax for subscripting a matrix is:
D[3, 6]
(for example), which refers to the row at index 3 and the column at index 6 in the matrixD
. Note that in Python the row and column indices start at 0! This means thatD[0, 0]
refers to the top-left entry of matrixD
. If you are coming from a pure math background, or have used MATLAB or R before, it is a common error to assume the indices start at 1.
Now for slicing, the:
character is used to indicate a range. If it is used by itself, it indicates the entire range of rows / columns. For example,D[:, 42]
refers to all rows ofD
, and the column at index 42. If it is used with indices, theni:j
indicates the range of rows / columns at indicesi
,i+1
, ...,j-1
, but not includingj
.
So,D[:, 0:2]
means to read the values inD
at all rows and at columns with index0
and1
(the entire first 2 columns, i.e. the input data columns). Likewise,D[:, 2]
means to read the values inD
at all rows and at the column of index2
(the entire last column, i.e. the output data column).
This matrix subscripting and slicing is almost what we want, but not quite. The problem is that D[:, 0:2]
, which contains our \(D_x\) data, is a matrix of shape \(m \times n\), but earlier we decided that we wanted \(D_x\) to be an \(n \times m\) matrix, so we need to flip it. To do so, we use the transpose of the matrix. Mathematically we write the transpose of a matrix \(A\) as \(A^T\), and in Python we can compute it using A.t()
. Essentially, the transpose of a matrix simply flips it along the diagonal, as shown in this animation:
So, D[:, 0:2].t()
is a matrix of shape \(n \times m\), and is our correct data input matrix \(D_x\). We save this matrix to the variable x_dataset
. Likewise, we also transpose D[:, 2]
to correctly compute \(D_y\), and save it in y_dataset
.
At this point we have our \(m \times n\) input data matrix x_dataset
and our \(m \times 1\) output vector y_dataset
loaded. In addition, we conveniently have the number of columns stored in n
, so now we can start defining our model.
Defining the model
As shown above, we want our model parameters to consist of a matrix \(A\) of size \(1 \times n\) and a single number \(b\). Then, we define: \[ y'(x, A, b) = Ax + b \]
In order to implement this, we define the trainable variables, the output prediction, and the loss function:
### Model definition ###
# First we define the trainable parameters A and b
A = torch.randn((1, n), requires_grad=True)
b = torch.randn(1, requires_grad=True)
# Then we define the prediction model
def model(x_input):
return A.mm(x_input) + b
### Loss function definition ###
def loss(y_predicted, y_target):
return ((y_predicted - y_target)**2).sum()
There are two differences with this code and the previous single variable regression code. First, we we define A
, we give it size of (1, n)
rather than 1
. This means that now A
is a matrix of size 1 x n
(i.e. a row vector) rather than a scalar as before. Second, when we define the model, we can no longer write A * x
because *
means scalar multiplication. Instead, we use A.mm(x_input)
to indicate matrix multiplication.
Training the model
At this point, we have our model and loss function all setup. The remaining code to train the model is extremely similar to the code for single variable regression, so I'll simply display it here, and then explain the few differences:
### Training the model ###
# Setup the optimizer object, so it optimizes a and b.
optimizer = optim.Adam([A, b], lr=0.1)
# Main optimization loop
for t in range(2000):
# Set the gradients to 0.
optimizer.zero_grad()
# Compute the current predicted y's from x_dataset
y_predicted = model(x_dataset)
# See how far off the prediction is
current_loss = loss(y_predicted, y_dataset)
# Compute the gradient of the loss with respect to A and b.
current_loss.backward()
# Update A and b accordingly.
optimizer.step()
print(f"t = {t}, loss = {current_loss}, A = {A.detach().numpy()}, b = {b.item()}")
First, we have a different learning rate than the learning rate used in single variable regression. Even though the training algorithm is the same, since this is a different problem than single variable regression, we need find a good learning rate specific to this problem. A great way to do this for your own problems is using TensorBoard, as explained in the chapter Optimization Convergence.
Besides this, the only other conceptual difference is that at each step of the optimizer we are modifying the entire vector A
simultaneously (in addition to b
), rather than just a single number. However, PyTorch abstracts this away for us, and conceptually we just need to know that we are training the variable A
.
The final print statements should output something close to:
t = 1994, loss = 1447991.625, A = [[2.0054889 1.3021096]], b = 3.950239419937134
t = 1995, loss = 1447991.625, A = [[2.0054889 1.3021096]], b = 3.950239419937134
t = 1996, loss = 1447991.625, A = [[2.0054889 1.3021096]], b = 3.950239419937134
t = 1997, loss = 1447991.625, A = [[2.0054889 1.3021096]], b = 3.950239419937134
t = 1998, loss = 1447991.625, A = [[2.0054889 1.3021096]], b = 3.950239419937134
t = 1999, loss = 1447991.625, A = [[2.0054889 1.3021096]], b = 3.950239419937134
At this point we have converged to our approximate solution of \(A \approx \begin{bmatrix} 2.005, 1.302 \end{bmatrix}, b \approx 3.95\). Note that this is not exactly the same as the expected answer of \(A = \begin{bmatrix} 2, 1.3 \end{bmatrix}, b \approx 4\), primarily because some random noise was added to each point in the data set.
The model is fully trained, so now given a new input \(x\) we could now predict the output \(y' = Ax + b\), using the learned information from all input variables.
Concluding Remarks
Linear regression with multiple variables is only slightly different in essence from single variable linear regression. The main difference is abstracting the linear operation \(ax\) where \(a\) and \(x\) are single numbers to the linear operation \(Ax\), where now \(A\) is a matrix, \(x\) is a vector. In addition, at the implementation level we also have to deal with loading data in a more sophisticated manner, but otherwise the code is mostly the same. In later chapters we will use this abstraction we have built to define even more powerful models.
Challenge Problems
So far this chapter has used a synthetic data set, linreg-multi-synthetic-2.csv
, for easy demonstration. The exercises are primarily concerned with getting practice at applying this model to real-world data. Note that in real-world data not all columns are useful, and some might not have a linear relationship with the output variable. Including these unhelpful columns in your model might decrease the accuracy of your model. You should try plotting various columns vs. the output column to determine which seem most helpful in predicting the output, and then only include these useful columns as your input.
In addition, many data sets will have so called messy data, which require you to do some manipulation in Python to make sure the data is imported cleanly and properly. For example, some rows might containg missing data: for these your code can not crash or incorrectly import the data. Instead, you need to adopt a strategy to still import the data as best as you can: for example, you can simply ignore any rows that have incomplete data.
Note that we have not discussed how to rigorously evaluate how good a model is yet. For now you can use the value of the loss function, along with some intuition and creating plots. Evaluation will be discussed more in chapter 2.7.
- Download this red wine quality data set, and try to predict the quality of the wine (last column) from the physicochemical input data (other columns).
- Download this car MPG data set, and try to predict the MPG (first column) based on some of the other columns.
- Download this California 1990 Housing Value data set, and try to predict the house values based on various factors.
Complete Code
The complete example code is available on GitHub, as well as directly here:
import pandas as pd
import matplotlib.pyplot as plt
import torch
import torch.optim as optim
### Load the data
# First we load the entire CSV file into an m x 3
D = torch.tensor(pd.read_csv("linreg-multi-synthetic-2.csv", header=None).values, dtype=torch.float)
# We extract all rows and the first 2 columns, and then transpose it
x_dataset = D[:, 0:2].t()
# We extract all rows and the last column, and transpose it
y_dataset = D[:, 2].t()
# And make a convenient variable to remember the number of input columns
n = 2
### Model definition ###
# First we define the trainable parameters A and b
A = torch.randn((1, n), requires_grad=True)
b = torch.randn(1, requires_grad=True)
# Then we define the prediction model
def model(x_input):
return A.mm(x_input) + b
### Loss function definition ###
def loss(y_predicted, y_target):
return ((y_predicted - y_target)**2).sum()
### Training the model ###
# Setup the optimizer object, so it optimizes a and b.
optimizer = optim.Adam([A, b], lr=0.1)
# Main optimization loop
for t in range(2000):
# Set the gradients to 0.
optimizer.zero_grad()
# Compute the current predicted y's from x_dataset
y_predicted = model(x_dataset)
# See how far off the prediction is
current_loss = loss(y_predicted, y_dataset)
# Compute the gradient of the loss with respect to A and b.
current_loss.backward()
# Update A and b accordingly.
optimizer.step()
print(f"t = {t}, loss = {current_loss}, A = {A.detach().numpy()}, b = {b.item()}")


Overview
This course is a two-semester architecture course in the design and development of unique, structural buildings. The theme of the course, “Can we fix it? Yes we can!” focuses on solving structural issues and preventing further damage.
Course materials include a wrap around toolkit, a red and orange checkered shirt, blue overalls, and a yellow construction hat. Dr. Builder appreciates students who follow his instructions, especially on proper attire.
Writing Assignments
Bob is super chill and rarely gives out assignments. Therefore, in order to keep his students busy, he assigns them fun, ungraded essays, usually involving some form of pop culture. During sit down lessons, Bob watches movies and sitcoms along with his students in order to better prepare them for their essays.
In the first semester, students turn in three major assignments in addition to their course-related woodwork: the first asks students to further analyze the popular sitcom "Friends", the second looks at the success of Marvel comics, and the third investigates the complex characters presented in "The Office."
Course Objectives
By the end of this course, students will be able to:
- Binge watch sitcoms and movies effortlessly
- Utilize filler words to fulfill essay requirements
- Learn how to style overalls with construction hats
- Fix basic construction issues
- Chill with Dr. Builder


Generating world...
ThreeTS
- webgl terrain + fog demo
(left click: forward, right click: backward)
writed by typescript


{% include setup_data.html %}
{% include header.html %} {% include navbar.html %}A beginners guide to the technology used at partner locations
SICSS Boot camp is an online training program designed to provide you with beginner level skills in coding so that you can follow the more advanced curriculum we teach at the partner locations of the Summer Institutes in Computational Social Science. The videos and materials linked below are designed for complete beginners and are best viewed as a sequence since each video builds upon content introduced in previous tutorials. To learn more– or get started–click on the “Welcome to Boot Camp” video below.
This video introduces you to SICSS boot camp, explains our philosophy, and tells you how to get started (2:44).
An introduction to open-source software that teaches you how to install both R and Rstudio and customize your interface (14:11).
Create and name different types of objects (e.g. vectors and dataframes) and learn about different classes of objects (e.g. numeric vs. string) as well as special features that make RStudio easier to use (17:36).
Learn how to clean, reshape, and restructure data with the tidyverse (22:45).
Learn how to visualize your data using ggplot (30:54)
Write functions, loops, and learn how to debug your code (28:32)
Bivariate plots, multivariate regression, and more (14:32)!
RMarkdown, Rpres, Shiny and Github (23:16)


| Beyonwiz::Recording::Recording |
use Beyonwiz::Recording::Recording;
Download recordings from the Beyonwiz.
Beyonwiz::Recording::Recording->new($class, $accessor, $join, $nameFormat, $dateFormat, $resume, $force)
Create a new Beyonwiz recording downloader object.
$accessor
is a
Beyonwiz::Recording::Accessor
object used to handle data operations on the source recording.
If $join
is true, the download will be into
a single .ts
file, otherwise the recording will
be copied as it is on the Beyonwiz.
$nameFormat
and $dateFormat
are the destination recording
name format and date format strings (for dates in the name format string).
If $resume
is true, allow resumption of recording download
that appear to be incomplete.
If $force
is true, allow a download to overwrite an existing download.
$r->accessor([$val]);
Returns (sets) the media file accessor object reference.
$r->join([$val]);
Returns (sets) the flag indicating whether the recording should be joined into a single file.
$r->date([$val]);
Returns (sets) the flag controlling whether the recording date is added to the recording name.
$r->resume([$val]);
Returns (sets) the flag controlling whether a recording resume is permitted.
$r->force([$val]);
Returns (sets) the flag controlling whether a recording forced overwrite is permitted.
addDir($dir, $name);
If $dir
is defined and not empty, return $dir
prepended to $name
,
otherwise return $name
.
$r->getRecordingName($hdr, $indexName, $join);
$hdr
is the recording's header.
$indexName
is the index name from the recording's
Beyonwiz::Recording::IndexEntry
.
$join
is a flag to indicate whether a recording folder
or single recording or media file is to be created from
Beyonwiz folder media formats.
$r->putFile($name, $file, $outdir, $append, $data)
Write the data $data
to $file
in directory
$outdir
.
Append rather than overwrite if $append
is true.
$r->getRecording($self, $hdr, $trunc, $stat, $indexName, $path,
$outdir, $useStdout, $progressBar) = @_;
Download a Beyonwiz recording, either as a direct copy from the Beyonwiz, or
combine tham into a single file (if $r->join
is true
for Beyonwiz folder media formats).
$hdr
is the recording's main header file object,
$trunc
is the recording's trunc file object
and
$stat
is the recording object's Istat> file object.
$indexName is the recording's name,
and $path
its path name from the recording's
Beyonwiz::Recording::IndexEntry
.
If $outdir
is defined and not the empty string, the recording is
placed in that directory, rather than the current directory.
The name of the downloaded recording is derived from the recording title
in the $hdr
, with the episode name appended if $r->episode
is true, and there are any non-whitespace characters in the episode name
and with the recording date appended if $r->date
is true.
If $useStdout
is set, output the recording to standard output instead
of to a file. This will only faithfully copy recordings if
$r->join
is true.
If $progressBar
is not undef
it must be an object in a class
implementing the methods $progressBar->total([$val])
and
$progressBar->done([$val])
. total
registers the total
number of bytes to transfer, and done
updates the number of
bytes transferred in the progress bar.
If $r->reconstructed
is true,
for any of $hdr
, $trunc
or $stat
,
then the header files for the respective objects are written from the
objects instead of being copied from the source recording.
$r->renameRecording($hdr, $path, $outdir)
Move a recording described by $hdr
and the given
source $path
(from the recording's
Beyonwiz::Recording::IndexEntry
)
to $outdir
by renaming the recording directory.
Returns HTTP_OK
if successful.
On Unix(-like) systems, renameRecording
will fail if the source
and destinations for the move are on different file systems.
It will also fail if $r->join
is true and it will fail if
the source recording is on the Beyonwiz.
In all these cases, it will return HTTP_NOT_IMPLEMENTED
,
and not print a warning.
For other errors it will print a warning with the system error message,
and return one of
HTTP_FORBIDDEN
,
HTTP_NOT_FOUND
or HTTP_INTERNAL_SERVER_ERROR
;
Returns HTTP_NOT_IMPLEMENTED
, must be overridden in any
derived class that can provide this function.
$r->deleteRecording($hdr, $trunc, $path)
Delete a recording.
$hdr
is the recording's header file object,
$trunc
is the recording's trunc file object,
and $path
is the path name from the recording's
Beyonwiz::Recording::IndexEntry
.
Uses packages:
Beyonwiz::Recording::Trunc
,
Beyonwiz::Recording::Header
,
Beyonwiz::Utils
,
HTTP::Status
,
File::Spec::Functions
,
File::Basename
,
POSIX
.
The progress callback may have inaccuracies when transferring a recording as-is from the Beyonwiz if the recording has been edited or made from the timeshift buffer.
Uses bignum
for 64-bit integers, even when the underlying
Perl integers are 64 bits.
| Beyonwiz::Recording::Recording |


Ping-Pong
Rules
Ping Pong will count up to your number from 1 with the following exceptions:
Numbers divisible by 3 become 'ping'
Numbers divisible by 5 become 'pong'
Numbers divisible by 15 become 'pingpong'
Enter your number here:
Ping Pong!


This page is your navigation page, allowing you access to all available information for the selected user. To view or change information, select the relevant page from the second row of menu items displayed. The menu items available include Details, Institution IDs, Applications, Special Roles, Availability, and Token.
Note: The Access Rights page is accessible from the Applications menu item.
You are returned to this page each time you click OK from the page you selected. You can continue making changes to other pages as needed. All of your changes will be held until you check the Approval box and click Update. At that time, your changes are applied and the Confirmation page displays allowing you to view the updated user record. You can also delete security records from this page.
Please refer to the Security manual for further details.
Click the following links for more information:
| First Name | First name of the user. |
| Last Name | Last name of the user. |
| Institution ID | 4-character alphanumeric identifier assigned by Card Services for the selected institution. |
| User ID | Client-Central user ID of the selected user. |
| Approval | Prior to saving the record you must accept the statement. For further information, refer to the Security manual or contact your client services representative. |
| Update | Applies all updates made on the various tabs for the selected user ID and takes you to a confirmation page. |
| Disable/Enable |
DisableAllows you to disable the selected user record preventing them from logging in with their token.
EnableAvailable when a user record is disabled, allowing you to reenable the record. |
| Delete | Deletes the user security record, returns you to the Choose User page, and displays a confirmation message. The user record is permanently deleted from Client-Central. |
| Cancel | Discards any changes you have made on the record and returns you to the Choose User page. |


--- layout: post status: publish published: true title: Ivy Envy Meet-up at Twenty Sports Grille on August 25th author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 1195 wordpress_url: http://ivyenvy.com/?p=1195 date: '2009-08-10 12:40:56 +0000' date_gmt: '2009-08-10 18:40:56 +0000' categories: - Ivy Envy - Podcast tags: - Nationals - Moline - Twenty Sports Grille comments: [] ---
Ivy Envy will be having it's first meet-up for Cubs fans at Twenty Sports Grille, which is located at 1405 5th Avenue in Moline, Illinois. The Cubs are playing the Nationals that night at 7pm and we'll start things up a little before the first pitch.
We will also be recording a podcast episode, so this is your chance to see how the magic happens. Twenty will have 16 oz. Cubs aluminum bottles for $3.50. They also have 20 beers on tap and serve your beverage in the appropriate pint glass.
We'd like to hang out and BS about the Cubs with you. At some point in the evening, all in attendance will be able to put their names in and we will draw for a $50 gift card to Twenty. Come on down and bring your friends that are Cubs fans.


Ringgit ends higher versus US dollar
KUALA LUMPUR, Nov 12 — The ringgit continued its uptrend against the US dollar at the close today on better investor demand for the local currency, a dealer said.
At 6pm, the ringgit was quoted at 4.1410/1440 versus the greenback from yesterday’s close of 4.1421/1450.
The dealer said the better crude oil prices, with the benchmark Brent crude oil price at press time rising to US$62.68 (RM259.65) per barrel today, has helped elevate the demand for the ringgit as Malaysia is a net oil and gas exporter.
Meanwhile, Bank Negara Malaysia’s (BNM) move to extend the maximum tenor of repurchase agreements, or repos, to five years from 365 days previously, will enhance liquidity and accessibility in the financial markets, and avoid a downgrade by global index provider FTSE Russell.
“This has supported the ringgit to remain positive,” the dealer said.
BNM today announced the initiative on its website, releasing a policy document that set out the revised requirements and expectations of the bank on market participants which enter into repo transactions involving ringgit and non-ringgit repo and reverse repo transactions.
Meanwhile, the local note traded mixed against other major currencies.
The ringgit rose against the Singapore dollar to 3.0415/0448 from 3.0425/0451 yesterday and went up against the yen to 3.7932/7966 from 3.8008/8045 yesterday.
It slipped against the British pound to 5.3158/3213 from 5.3023/3077 yesterday and was almost flat versus the euro to 4.5679/5729 from 4.5679/5728 previously. — Bernama


Uploading a Repository Item (Default/Default2/Nifty Skins)
How to add a new item to a Repository module that is using either the Default, Default2 or Nifty skin. Note: Upload may not be available to all users.
Tip: Switching the Editor from Basic Text Box to Rich Text Editor or back will remove any file you have selected at the File field. For this reason perform any Editor switches before selecting this file.
- Click the UPLOAD button.
- In the Title text box, enter a title for the file.
- At File, click the Browse... button and then locate and select the downloadable file.
- Recommended. At Image, click the Browse... button and then locate and select the image file to be displayed in this module. If you don't select an image the "No Image" default image will be displayed.
- In the Description Editor, enter a description for this item.
- Complete any of these optional fields:
- At Categories, select one or more categories if available.
- In the Your Name text box, enter your name. If you are logged in to the website, your First Name and Last Name are displayed, but these can be edited if required.
- In the Your EMail Address text box, enter your email address. If you are logged in the email address associated with your user account is displayed but can be edited if required.
- At Show my email address, to display your email address on this item listing - OR - to keep your email address private.
- Click the Upload button.
- Optional. If you are not a moderator, a message reading "Your upload MUST be approved by an Administrator BEFORE it is displayed on the website. You will receive an email when your upload has been approved" is displayed.
Note: The contributor's name and email address are NOT displayed on file listings. Categories are not displayed on this skin.


First Name
Last Name
Cell Phone
Email
Submit
Home
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Case Studies
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Chicago, IL
this is the address of the house
Economic Breakdown
Name
Age
Job
James
24
Engineer
Jill
26
Engineer
Elyse
24
Designer


Hello! My name is Sulina Ekaterina. I am Peter the Great St.Petersburg Polytechnic University's student.


Under My Thumb
Children
Chores
Assignments
Children
Manage list of children with chores.
Are you sure, you want to delete?
Ok
Cancel
Name
User name is required and cannot be whitespace.
Ok
Cancel
Completing operation...
Name
Actions
Chores
Manage chore assignments for each child.
Child
Description
Assigned Days
Actions
Are you sure, you want to delete?
Ok
Cancel
Child
Description
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Ok
Cancel
Assignments
Chores this week.
Description
Day
Completed?
Monday
Completing operation...


val sockState: SockStatus
Gets the current status of the socket.
See Also: srt_getsockstate
Return the current SockStatus


0.0.1
Controller for the functionalities implemented for the add sources view.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
Sets 2 scope variables that represent 2 different font-sizes. These variables are used in the page as ng-style attributes.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Selects or deselects a source. It searches the param given in the array of selected sources for the current user. If the index is found then it removes the source fromt he array, else it adds it. Then the newly selected sources are saved in the local storage.
(string)
The title of the selected source
Removes the selected source from the array with all the current user's selected sources.
(int)
The index of the deselected source
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Loading current user's selected sources. 2) Loading current user's selected font size. 3) If the device is connected to the internet it fetches sources from the server and checks them if they were previously selected from the user.
Controller for the functionalities implemented for the article view.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
(string)
The message to display
(int)
The duration of the display
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
Responsible for displaying the report modal template. If the user selects either one or both of the options and clicks "Confirm", then a request is sent to the server with the reported article's source title for further statistics calculations.
Responsible for saving or unsaving the article from the current user's saved articles that are located in the local storage. It checks if the article is already saved, by checking in the article's id is contained in an array with the current user's saved articles. If it is, then it removes it, else it adds it and then stores the saved articles back in the local storage. Lastly, it shows an informational toast that the article has been removed/added.
Responsible for adding the article's id to the current user's saved articles. Once added, the saved articles are stored back in the local storage.
Responsible for removing the article's id from the current user's saved articles. Once removed, the saved articles are stored back in the local storage.
Responsible for removing the article's id from the current user's saved articles. Once removed, the saved articles are stored back in the local storage.
Responsible for displaying the delete modal template. If the user clicks "Confirm", then the article's id is added in an array with all the current user's deleted articles. Then the array is stored back in the local storage. Lastly, it displays an informational toast that the article has been deleted.
Responsible for finding the current article's notes from the local storage entry of the current user and store on top of them the new notes.
Sets 2 scope variables that represent 2 different font-sizes. These variables are used in the page as ng-style attributes.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Sets the appropriate font style class for headers in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Responsible for finding the current article's notes from the local storage entry of the current user.
Responsible for loading all the necessary data from the local storage for the current user.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) If the article was opened from the saved page, then the article is loaded from the user's saved articles in the local storage. If the article was opened from the news feed and there is internet connection then an http request is sent to the server with the article's id in order to retrieve the article's data. If the article was opened from the news feed and there is no internet connection then it is loaded from the user's cached articles in the local storage. 2) Loading the notes of the article.
Controller for the functionalities implemented for the news feed view.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
(string)
The message to display
(int)
The duration of the display
Responsible for checking whether the current article has already been deleted. It searches in an array, that is saved in the local storage and returns true if the article is contained or false if it's not.
(int)
The id of the article that is currently being deleted
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
Sets 2 scope variables that represent 2 different font-sizes. These variables are used in the page as ng-style attributes.
Responsible for saving or unsaving the article from the current user's saved articles that are located in the local storage. It checks if the article is already saved, by checking in the article's id is contained in an array with the current user's saved articles. If it is, then it removes it, else it adds it and then stores the saved articles back in the local storage. Lastly, it shows an informational toast that the article has been removed/added.
(int)
The id of the article that is currently being saved
Responsible for adding the article's id to the current user's saved articles. Once added, the saved articles are stored back in the local storage.
(int)
The id of the article that is currently being saved
Responsible for checking whether the current article has already been saved. It searches in an array, that is saved in the local storage and returns true if the article is contained or false if it's not.
(int)
The id of the article that is currently being saved
boolean
:
True if it's saved, False if it's not
This function is responsible for finding the selected article and remove it from the array with the saved articles by splicing the array on the article's position.
(int)
The id of the article to unsave
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Sets the appropriate font style class for headers in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Responsible for redirecting the app to the article view and passes as a parameter the article's id in order to fetch the article later in the article view. Also it sends a request to the server in order to increase the click counter for the article's source.
(int)
The id of the article to be viewed
Responsible for checking if this is the first time the current user is logging in the application. If it is, then it displays the tutorial.
Responsible for loading all the necessary information of the current user that are needed from the local storage, such as: deleted articles, selected sources, settings, saved articles, reported articles.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Initializing the tutorial modal. 2) Loading necessary data with the loadNecessaryData function 3) If there are cached articles, it loads the cached articles in view.
Controller for the functionalities implemented for the edit profile view.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
Sets 2 scope variables that represent 2 different font-sizes. These variables are used in the page as ng-style attributes.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Responsible for updating all entries in the local storage with the new username if the username has changed.
Responsible for setting a flag if the newly inserted username is already taken. If it's not, then it sends the data to the UserService to update the current user's information.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Loading current user's detailes. 2) Loading all the users usernames. 3) Loading current user's details.
Controller for the functionalities implemented for the side menu.
Executes actions when the message "usernameChange" is broadcasted in the controllers. Actions taken: 1) Gets the new username of the currently active user.
Executes actions when the message "nightmodeChange" is broadcasted in the controllers. Actions taken: 1) Gets the new nightmode toggle value.
Executes actions when the message "fontsizeChange" is broadcasted in the controllers. Actions taken: 1) Gets the new font size value.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Sets the appropriate color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode for the icon's color.
Sets the appropriate font style class for headers in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Responsible for displaying a warning message to the user if they click logout. Then, if the user clicks "Confirm", the user gets logged out and their credentials are cleared from the AuthenticationService and applications rootScope.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Loading current user's selected font size.
Controller for the functionalities implemented for the login view.
Responsible for creating the local storage entries for the current user. These entries are: 1) User Settings 2) Deleted Articles 3) Selected Sources 4) Cached Articles 5) Saved Articles 6) Reported Articles
Responsible for searching for the current user's settings in the local storage. If there aren't any, it calls createUserSettings() in order to generate all the necessary entires in the local storage.
Responsible for displaying an informational popup if the user failed to login.
(any)
Responsible for attempting to login the user. It passes the user's username and password in the Authentication Service. If the login was successful then the user is redirected tot he news feed page. If not then the login failure popup is displayed.
Controller for the functionalities implemented for the news feed view.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
(string)
The message to display
(int)
The duration of the display
Invokes a repeat that every 15 minutes it calls the requestArticles function.
Stops the repeat of requestArticles function.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
Sets 2 scope variables that represent 2 different font-sizes. These variables are used in the page as ng-style attributes.
Responsible for displaying the report modal template. If the user selects either one or both of the options and clicks "Confirm", then a request is sent to the server with the reported article's source title for further statistics calculations.
(int)
The reported article's id
Responsible for checking whether the current article has already been reported. It searches in an array, that is saved in the local storage and returns true if the article is contained or false if it's not.
(int)
The id of the article that is currently being checked
boolean
:
True if it's reported, False if it's not
Responsible for saving or unsaving the article from the current user's saved articles that are located in the local storage. It checks if the article is already saved, by checking in the article's id is contained in an array with the current user's saved articles. If it is, then it removes it, else it adds it and then stores the saved articles back in the local storage. Lastly, it shows an informational toast that the article has been removed/added.
(int)
The id of the article that is currently being saved
Responsible for adding the article's id to the current user's saved articles. Once added, the saved articles are stored back in the local storage.
(int)
The id of the article that is currently being saved
Responsible for checking whether the current article has already been saved. It searches in an array, that is saved in the local storage and returns true if the article is contained or false if it's not.
(int)
The id of the article that is currently being saved
boolean
:
True if it's saved, False if it's not
Responsible for removing the article's id from the current user's saved articles. Once removed, the saved articles are stored back in the local storage.
(int)
The id of the article that is currently being deleted
Responsible for checking whether the current article has already been deleted. It searches in an array, that is saved in the local storage and returns true if the article is contained or false if it's not.
(int)
The id of the article that is currently being deleted
Responsible for displaying the delete modal template. If the user clicks "Confirm", then the article's id is added in an array with all the current user's deleted articles. Then the array is stored back in the local storage. Lastly, it displays an informational toast that the article has been deleted.
(int)
The id of the article that is currently being deleted
This function is responsible for finding the selected article and remove it from the array with the saved articles by splicing the array on the article's position.
(int)
The id of the article to unsave
Responsible for refreshing the news feed and retrieving articles from the server. Then it filters out the articles that are already in the news feed and pushes in the feed the new articles.
Implements infinite-scroll functionality. When the bottom 1% of the screen has been reached the next x articles [defined by the variable articles_toload_infinite], if they are available, from the preloaded articles are added at the bottom of the news feed.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Sets the appropriate font style class for headers in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Responsible for redirecting the app to the article view and passes as a parameter the article's id in order to fetch the article later in the article view. Also it sends a request to the server in order to increase the click counter for the article's source.
(int)
The id of the article to be viewed
Responsible for checking if this is the first time the current user is logging in the application. If it is, then it displays the tutorial.
Responsible for retrieving articles from the server every 15 minutes in order to keep the feed updated in real time.
Responsible for loading all the necessary information of the current user that are needed from the local storage, such as: deleted articles, selected sources, settings, saved articles, reported articles.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Initializing the tutorial modal. 2) Loading necessary data with the loadNecessaryData function 3) If the user is online it retrieves articles from the server
Controller for the functionalities implemented for the profile view.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
Sets 2 scope variables that represent 2 different font-sizes. These variables are used in the page as ng-style attributes.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Loading current user.
Controller for the functionalities implemented for the saved articles view.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
(string)
The message to display
(int)
The duration of the display
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
Sets 2 scope variables that represent 2 different font-sizes. These variables are used in the page as ng-style attributes.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Sets the appropriate font style class for headers in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
This function is responsible for finding the selected article and remove it from the array with the saved articles by splicing the array on the article's position.
(int)
The id of the article to unsave
Responsible for displaying the report modal template. If the user selects either one or both of the options and clicks "Confirm", then a request is sent to the server with the reported article's source title for further statistics calculations.
(int)
The reported article's id
Responsible for checking whether the current article has already been reported. It searches in an array, that is saved in the local storage and returns true if the article is contained or false if it's not.
(int)
The id of the article that is currently being checked
boolean
:
True if it's reported, False if it's not
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Loading user's saved articles. 2) Loading user's reported articles.
Controller for the functionalities implemented for the settings view.
Responsible for saving the new settings under the user's entry in the local storage. Also it saved in the session storage the font size used for easier font management across pages.
Responsible for broadcasting across the application the value of the nightmode toggle. Also it saves the value of the nightmode in the session storage for easier background class management across the pages.
Responsible for matching the value of the font size range bar to the appropriate font size percentage used. Also it broadcasts the changed value across the app.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Loading current user's settings.
Controller for the functionalities implemented for the sign up view.
Responsible for registering the new user. It sends the new user's info in the UserService and if the registration was successful it logins the user, else it displays an informational popup with the according error message.
Responsible for creating the local storage entries for the current user. These entries are: 1) User Settings 2) Deleted Articles 3) Selected Sources 4) Cached Articles 5) Saved Articles 6) Reported Articles
Responsible for attempting to login the user. It passes the user's username and password in the Authentication Service. If the login was successful then the user is redirected tot he news feed page. If not then the login failure popup is displayed.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded.  2) Initialized birthday, sex and firstTime login values for the new user.
Controller for the functionalities implemented for the statistics view.
Executes actions before this page is loaded into view. Actions taken: 1) Gets the nightmode setting value in order to set the page to nightmode 2) Gets the font size selected by the user in order to set it to the whole page
Sets 2 scope variables that represent 2 different font-sizes. These variables are used in the page as ng-style attributes.
Sets the appropriate background class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode background.
Sets the appropriate font color class in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Sets the appropriate font style class for headers in a scope variable that will be used in the page as ng-class attribute. The classes are either for nightmode or normal mode font-color.
Responsible for initialization of the selection dropdowns and the graphs' options.
Responsible for calling all the functions and executing necessary functionalities once the page is loaded. Such functionalities include: 1) Initialize the graphs' options 2) Executes a request to the server to get all the sources. 3) Adds the sources in the sources dropdown selection.
Responsible for executing a request to the server in order to retrieve the requested statistics information. When the response is retrieved, it adds the response values to the chart data and also creates the chart's labels according to the request.
Controller for the functionalities implemented for the tutorial template.
Controller for the functionalities implemented for the welcome view.
Responsible for setting the application's initial run value to false so that the welcome page will not be displayed again if the application will be run again on the current device. Then it redirects the application to the login view.
Default module create by Ionic v1 and AngularJS for app services.
Stores in the local storage if this is or not the application's first run on this device.
Factory that works like an offline user service.
Responsible for searching the usernames registered in the app to check if the new profile's username is not already registered. If not then a new profile is created with the input details and a success promise is returned. If it is, then a failed promise is returned.
(object)
The new user's profile details
promise
:
Success if the profile was created / Failure if not
Responsible for searching to find the given user's profile details and update them with the new given details. If the process is successful then a success promise is returned, else a failed promise is returned.
(object)
The user's updated profile details
promise
:
Success if the profile was updated / Failure if not
Factory that works like an offline user authentication service.
Responsible for searching all the users' profiles to find the matching username in the users' list. If the username is not found then a failure callback is returned. Else if the username is found, then it checks if the password matches. If it does, it returns a success callback. If not, then it returns a failure callback.
Responsible for clearing the global username and password values.
Factory that checks if the device is connected to the internet


Welcome to my blog!
Feel free to navigate around and take a peek at what I've been working on.
While you're here, why not check out some of my favourite NPR tiny desk concerts as well!


title: ‘qtl2pleio
: Testing pleiotropy vs. separate QTL in multiparental populations’ tags:
Modern quantitative trait locus (QTL) studies in multiparental populations offer opportunities to identify causal genes for thousands of clinical and molecular traits. Traditional analyses examine each trait by itself. However, to fully leverage this vast number of measured traits, the systems genetics community needs statistical tools to analyze multiple traits simultaneously [@jiang1995multiple;@korol1995interval]. A test of pleiotropy vs. separate QTL is one such tool that will aid dissection of complex trait genetics and enhance understanding of genetic architecture.
@jiang1995multiple developed a pleiotropy test for two-parent crosses. For a pair of traits that map to a single genomic region, they formulated the test with the null hypothesis being pleiotropy (the two traits are affected by a single QTL) against the alternative hypothesis of two separate QTL, with each QTL affecting exactly one trait in the pair.
The test of @jiang1995multiple doesn’t directly apply to multiparental populations because
Additionally, the test statistic distribution, under the null hypothesis of pleiotropy, doesn’t follow a distribution with tabulated quantiles, like the chi-square with 1 degree of freedom. Thus, we need to implement a method for determining p-values.
We addressed the first two challenges by adding a fixed effect for every founder line and incorporating a multivariate polygenic random effect into the linear model, which resulted in a multivariate linear mixed effects model [@kang2008efficient;@zhou2014efficient]. We implemented a parametric bootstrap procedure to determine p-values for test statistics [@efron1979bootstrap;@tian2016dissection]. We describe details of our statistical methods elsewhere [@boehm2019testing].
qtl2pleio
offers a convenient interface for those already analyzing data with qtl2
. The primary functions in qtl2pleio
are scan_pvl
, to perform the multivariate multi-QTL scan, and boot_pvl
, to obtain bootstrap samples. We also include functions for visualizing results. qtl2pleio
features three R package vignettes that demonstrate these and other qtl2pleio
functions. One vignette provides examples for performing bootstrap analysis with a computing cluster. For quality assurance purposes, we incorporated unit tests into qtl2pleio
via the R package testthat
[@wickham2011testthat].
qtl2pleio
uses C++
code for model fitting via generalized least squares. We use the R package Rcpp
to interface with our C++
code [@eddelbuettel2011rcpp]. We also make use of the C++
library Eigen
via the R package RcppEigen
[@bates2013fast].


We are a new company, and are working on expanding our portfolio,
but we would love to see your project listed here!
Caffeinated Software is a software company started by passionate developers who want to help make your life easier. We pride ourselves on our quality, speed, and ability to deliver exactly what the customer needs.
Whether you're a Fortune 500 company or a local Mom and Pop shop, we want to help make your business practices and web presense the best it can be.
We also strive to innovate new products, markets, and push forward to the marketplace of tomorrow.
<EMAIL_ADDRESS>(260) 797-9770
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Fort Wayne, IN 46825


#include <TF1DEditor.h>
◆ TF1DEditor()
| TF1DEditor::TF1DEditor |
( |
QWidget * |
parent = 0 | ) |
|
◆ ~TF1DEditor()
| TF1DEditor::~TF1DEditor |
( |
| ) |
|
◆ applyThreshold()
| void TF1DEditor::applyThreshold |
( |
| ) |
|
|
protected |
◆ createConnections()
| void TF1DEditor::createConnections |
( |
| ) |
|
◆ createWidgets()
| void TF1DEditor::createWidgets |
( |
| ) |
|
◆ getTF1DMappingCanvas()
◆ getTF1DTextureCanvas()
◆ getTFFileName()
| QString TF1DEditor::getTFFileName |
( |
| ) |
|
|
inline |
◆ getTransferFunction()
| void TF1DEditor::getTransferFunction |
( |
float * |
transferFunction, |
|
|
size_t |
dimension, |
|
|
float |
factor |
|
) |
| |
◆ loadTransferFunction [1/2]
| void TF1DEditor::loadTransferFunction |
( |
| ) |
|
|
slot |
◆ loadTransferFunction [2/2]
| void TF1DEditor::loadTransferFunction |
( |
const QString & |
TFName | ) |
|
|
slot |
◆ lowerThresholdSpinChanged
| void TF1DEditor::lowerThresholdSpinChanged |
( |
int |
value | ) |
|
|
slot |
◆ minimumSizeHint()
| QSize TF1DEditor::minimumSizeHint |
( |
| ) |
const |
|
override |
◆ repaintAll()
| void TF1DEditor::repaintAll |
( |
| ) |
|
|
protected |
◆ resetThresholds()
| void TF1DEditor::resetThresholds |
( |
| ) |
|
|
protected |
◆ resetTransferFunction
| void TF1DEditor::resetTransferFunction |
( |
| ) |
|
|
slot |
◆ restoreThresholds()
| void TF1DEditor::restoreThresholds |
( |
| ) |
|
|
protected |
◆ saveTransferFunction
| void TF1DEditor::saveTransferFunction |
( |
| ) |
|
|
slot |
◆ setTFFileName()
| void TF1DEditor::setTFFileName |
( |
QString |
filename | ) |
|
|
inline |
◆ setVolumeInformation()
| void TF1DEditor::setVolumeInformation |
( |
Volume * |
volume | ) |
|
◆ sizeHint()
| QSize TF1DEditor::sizeHint |
( |
| ) |
const |
|
override |
◆ TF1DChanged
| void TF1DEditor::TF1DChanged |
( |
| ) |
|
|
signal |
◆ thresholdChanged
| void TF1DEditor::thresholdChanged |
( |
float |
min, |
|
|
float |
max |
|
) |
| |
|
slot |
◆ toggleInteraction
| void TF1DEditor::toggleInteraction |
( |
bool |
on | ) |
|
|
slot |
◆ toggleInteractionMode
| void TF1DEditor::toggleInteractionMode |
( |
bool |
on | ) |
|
|
signal |
◆ updateTransferFunction
| void TF1DEditor::updateTransferFunction |
( |
| ) |
|
|
slot |
◆ upperThresholdSpinChanged
| void TF1DEditor::upperThresholdSpinChanged |
( |
int |
value | ) |
|
|
slot |
◆ clearButton
| QToolButton* TF1DEditor::clearButton |
|
protected |
button for resetting transfer function to default
◆ curTFFile
| QString TF1DEditor::curTFFile |
|
protected |
◆ doubleSlider
2 slider for adjusting the thresholds
◆ expandButton
| QToolButton* TF1DEditor::expandButton |
|
protected |
button for zooming in threshold area
◆ loadButton
| QToolButton* TF1DEditor::loadButton |
|
protected |
button for loading a transfer function
◆ lowerThresholdSpin
| QSpinBox* TF1DEditor::lowerThresholdSpin |
|
protected |
spinbox for lower threshold
◆ m_maxCountOfHistogram
| double TF1DEditor::m_maxCountOfHistogram |
|
protected |
◆ m_voxelHistogram
| QScopedPointer<double, QScopedPointerArrayDeleter<double> > TF1DEditor::m_voxelHistogram |
|
protected |
◆ maximumIntensity
| int TF1DEditor::maximumIntensity |
|
protected |
maximum intensity that can occur in the dataset
◆ repaintButton
| QToolButton* TF1DEditor::repaintButton |
|
protected |
button for forcing a repaint of the volume rendering
◆ saveButton
| QToolButton* TF1DEditor::saveButton |
|
protected |
button for saving a transfer function
◆ textureCanvas
canvas that is used for displaying the texture of the transfer function
◆ transCanvas
◆ upperThresholdSpin
| QSpinBox* TF1DEditor::upperThresholdSpin |
|
protected |
spinbox for upper threshold
The documentation for this class was generated from the following files:


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Find out moreDomestic violence happens around the world. People suffer from abuse and are unaware of how to handle the situation. Besides the victim, the people most concerned are the friends and family members of the person who is getting abused. Often people who are getting abused will not reach out for help or are not aware that they are victims of domestic violence. This is where the friends and family members come in. Through SMS, Help140 educates the friends and family members by offering ways to start the conversation about the victim's abuse to attempt to resolve the issues at hand by providing guidance and counseling to fight the abuse.
Text (646)846-HELP


--- lang: en layout: page format: plate margin title: Examples subheadline: Aspectran Guides teaser: Here are some examples to help you learn and get started with Aspectran. header: image_fullwidth: "header_documentation.jpg" caption: "My two daughters draw a picture on the car-free roads." breadcrumb: true permalink: /en/guides/examples/ noindex: true --- {% assign guides = site.guides | where: "category", "examples" %}
{% if guide.image.thumb %}{% endif %} {% if guide.meta_description %}{{ guide.meta_description | strip_html | escape }}{% elsif guide.teaser %}{{ guide.teaser | strip_html | escape }}{% endif %}


Calories
"From 1982 to 2002, the average pizza slice grew 70 percent in calories. The average chicken Caesar salad doubled in calories, and the average chocolate chip cookie quadrupled," revealed the NRDC study.
Let's Move!
First Lady Michelle Obama passed the Hunger-Free Kids Act in 2010 that gives increases access to healthy food for low income families in schools.The bill that reauthorizes these programs is often referred to by shorthand as the child nutrition reauthorization bill.
Benefits of Gluten Free
Gluten-Free products are 242% more expensive.By avoiding some of these processed and not-so-nutritious foods, you’ll be able to replace them with yummy gluten-free options and opt for fresher ingredients, thus trimming the excess starch and some inches off that waist.
The healthy state of Hawaii
The Aloha State consistently has been in the top six since 1990, when the report first came out, largely for its low obesity rates and high mental health ratings.
The meat-less lifestyle
Studies Find Eating a Plant Based Diet Makes You Happier and Less Stressed.
Deforestation
Nearly 80% of land deforested in the Amazon is now used as cattle pasture.Switching to a diet free of meat, dairy, and eggs saves more carbon emissions than driving a Prius.To produce one pound of animal protein vs. one pound of soy protein, it takes about 12 times as much land, 13 times as much fossil fuel, and 15 times as much water.
Celiac Disease
Celiac Disease is an immune reaction to eating gluten, a protein found in wheat, barley, and rye.Eating gluten causes pain and discomfort bloating, gas, fatigue, low blood count (anemia), and osteoporosis. But many show people have no symptoms.75% of the American population have celiac disease but an 83% of those are misdiagnosed.
Soy Sauce
After chugging a bottle of soy sauce on a dare from his friends, a teen was in a coma for five hours. The nineteen year old college student is the first person to deliberately overdose on salt, and survive without significant brain damage according to Discovery News.Soy sauce should be used in moderation.A tablespoon has around 2.3g salt – that’s 38% of the daily maximum.
Serving Sizes
The serving size for Nacho Cheese Doritos is just 11 chips. ELEVEN.
Carrots
Before the 17th century, almost all cultivated carrots were purple.The modern day orange carrot wasn’t cultivated until Dutch growers in the late 16th century took mutant strains of the purple carrot and gradually developed them into the sweet, plump, orange variety we have today. Before this, pretty much all carrots were purple with mutated versions occasionally popping up including yellow and white carrots. These were rarely cultivated and lacked the purple pigment anthocyanin.

Dairy Free Diet
The benefits of going dairy free are clear skin,healthy digestion,weight loss,cancer prevention,and stronger bones.


This is an example of a layered approach to gui design.
menu 1
menu 2
This menu panel is anchored on the left
Click to show dialog popup
Click to show notification
This notification is anchored to the bottom right of the screen
×
This notification is centered


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Cocktail Generator
Sometimes it can be difficult to decide which drink to make. Use our amazing function to generate a random cocktail for you and get inspired!
Sometimes it can be difficult to decide which drink to make. Use our amazing function to generate a random cocktail for you and get inspired!


{% extends "layout.html" %} {% block title %} Analysis {% endblock %} {% block main %} analysis Leaf: {{ leaf }} || Certainty: {{ certainty }} || Time for analysis: {{ time }} New Analysis! {% endblock %}
Leaf: {{ leaf }} || Certainty: {{ certainty }} || Time for analysis: {{ time }}