This chapter is about predicting the value of one variable based on information about another. Our main predictor will be conditional expectation, which we defined earlier but will now examine as a guess for one variable given the value of another.
We will define a criterion for comparing predictions, and identify the best predictor using that criterion. The concept of correlation, introduced earlier as the covariance between two standardized variables, will be used to assess predictions made by the regression method.


This test loads a secure iframe that loads an insecure script (but with a tricky redirect). We should trigger a mixed content callback because an active network attacker can end up controling the script.


Tonight!
Sydney .NET User
Group
Tonight, Wednesday 30th August 2006
* Corrected
5:45pm - 9:00pm
Location: Microsoft, Sydney
Eric Lee will be presenting - Introducing Team Foundation Server
We are very lucky to have Eric Lee, the Microsoft Product Manager for Team Foundation Server (TFS) presenting at the User Group this week. Eric has been Down Under for TechEd and is staying a few extra days.
Thanks to Andrew Coates and Adam Cogan (President of the Sydney .Net User Group and speaker at OzFox Lite earlier this year) we will be combining the VFP User Group with the .Net User Group for a special presentation from Eric.
This topic will be of great interest to anyone currently using Visual Source Safe, who are evaluating better options for source control plus all the extra features that TFS provides.
Users of Visual Studio 2005 will find this session particularly interesting as TFS extends the Visual Studio tool set into check-in policies, continuous integration and enterprise level source control.
2 Days
Real World ClickOnce
Friday 1st September 2006
8:00am - 11:00am
ClickOnce is a technology that allows developers to write Windows Forms applications that utilise the powerful features of the client, yet are as hassle-free to deploy and update as a Web page.
ClickOnce provides a rich set of easy to use capabilities for deploying and updating smart client applications, including lots of options and ways of approaching things. Once you understand how to get your application out the door and updated, using the myriad of options that ClickOnce provides, lots of other questions arise, including how to make it more secure and how things will change in the future.
The problem for developers is that ClickOnce provides so much flexibility for getting your smart client applications into your users' hands. Come learn how to conquer the challenges of employing ClickOnce in real world enterprise environments. This session will quickly review the process of deploying an application with ClickOnce, focusing on what is placed where and what security mechanisms and configuration is involved. It will then cover how to move ClickOnce applications from development machines onto production servers including the server configuration required and the modifications needed to your manifest files.
Also covered will be how to version your ClickOnce applications to control who gets what version when, as well as how to tighten down security using trusted publishers and avoiding user prompting. (The goal being to take the "trust decisions" out of the users' hands and put them back into the control of your enterprise administrators).
Strategies for tracking application usage and restricting access to ClickOnce applications will also be discussed.
38 Days
SQL Server 2005: Advanced Indexing Strategies
Friday 6th October 2006
8:00am - 11:00am
In this session we look at a fast-paced collection of indexing tips and tricks based on an already optimized base table structure.
Once the base table structures have been defined and you have to further improve system performance, where do you look and how do you do this? In this session we will talk about targeting both the known and finding the unknown performance problems. Once you know where the problems are we'll go through numerous options to improve the performance using indexes.
Steve Herzberg - Sales Director at NRG Solutions. Steve has worked closely with Microsoft at this year's Code camp and has for the past few years assisted the team at SSW with tailored marketing and sales support. NRG Solutions are a training consulting company with a focus on sales and marketing skills and strategies for IT staff and companies. Steve is regarded as one of Australia's most engaging speakers and will show you how to take the next step in your career as a developer . Clients of NRG Solutions include: ANZ Bank, CGU, Microsoft, SSW, Cricket Australia & Fitness First.
|
In this introductory workshop, Steve will cover:
|
|
Adam Cogan - Chief Architect at SSW and Microsoft Regional Director. Adam has been developing custom solutions for businesses across a range of industries such as Government, banking, insurance and manufacturing since 1990 for clients such as Microsoft, Quicken, and the Fisheries Research and Development Corporation. His wealth of experience in the industry and unsurpassed technical knowledge will ensure attendees get the most out of these sessions. Managing a team of coders can be a tricky experience, especially as most coders like to do things their own way. During this session Adam will go through a list of rules that help make the development process as smooth as possible. These rules govern the creation of specifications and schedules, best methods for testing and fixing bugs and even the employees working conditions. |
So come and join Steve and Adam as they take you through "Earning More Per Hour as A Developer"


Press n or j to go to the next uncovered block, b, p or k for the previous block.
| File | Statements | Branches | Functions | Lines | |||||
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| composer.ts |
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42.86% | 3/7 | 0% | 0/2 | 0% | 0/2 | 42.86% | 3/7 |
| metadata-interface.ts |
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100% | 3/3 | 100% | 2/2 | 100% | 1/1 | 100% | 3/3 |
| metadata-provider.ts |
|
96.15% | 25/26 | 75% | 9/12 | 100% | 4/4 | 95.65% | 22/23 |
| taquito-tzip16.ts |
|
100% | 16/16 | 100% | 0/0 | 50% | 1/2 | 100% | 14/14 |
| tzip16-contract-abstraction.ts |
|
98.48% | 65/66 | 90.32% | 28/31 | 100% | 10/10 | 98.21% | 55/56 |
| tzip16-errors.ts |
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76.92% | 50/65 | 100% | 0/0 | 83.33% | 15/18 | 74.51% | 38/51 |
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81.82% | 9/11 | 0% | 0/2 | 33.33% | 1/3 | 80% | 8/10 |
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Are you sure you want to decline this ride request? You will be temporarily timed out for 1 minute, during which you won't be able to search for any ride requests.
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## Franco Gasperoni, 2008
recalling his first encounter with numeric literals in Ada, a gem
fun fact: you can insert underscores to separate groups of digits: 3.14159_26535_etc
(fun fact? beautiful fact?)
based literal methods: in C, it’s unintuitive/strange (arbitrary), while in Ada you can write it consistently (formal) in however many bases you want (structural, base 2, 8, 10, 16)
ada provides exactness, and therefore frees the programmer from the language (the limitations of writing)


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
Flatten the mini breast fillets with a meat mallet or rolling pin, until ½cm thick.
Sprinkle the chicken with crushed peppercorns to lightly coat.
Heat a frying pan until hot, then add the oil and the chicken. Fry for 2-3 minutes on each side, until tender golden and completely cooked through.
Heat a second frying pan until hot, then add the bacon and fry until golden.
Meanwhile, place the avocado into a bowl and mash with a fork.
Add the red onion, lemon, chilli, cumin and coriander, season with salt and freshly ground black pepper and mix well.
To assemble the sandwiches, spread the mayonnaise onto two slices of the bread. Top with the bacon, then the chicken, then the mozzarella slices. Spread the guacamole onto two more slices of the bread. Top each sandwich with lots of tomato or beetroot slices and close with the slice of guacamole-covered bread.


Presented by Marc Plouhinec for the SZJUG.
Allow users to find each others and make a video call.
https://github.com/marcplouhinec/webrtcdemo
Only works locally with Firefox.
https://webrtcdemo.ydev.xyz/


Double Pendulum
Uses p5.js and Matter.js
Coding Challenge #093: Double Pendulum
with
The Coding Train


DragAndDrop has three functions that can be used to handle dragging and dropping of uris, files, and images.
makeDraggable is used to make an element Draggable. Along with the HTML Element, it is also necessary to pass an object with a uri. This is used to set the data on the EventListener for 'dragstart'.
makeDropTarget is used to make an element enabled as a drop target. Along with the HTML Element, it is also necessary to pass in two callback functions; one to handle draggable uris and the other to handle draggable files and images.
uploadFiles is used to process the files that a user is uploading.
Drag me to the target!
Drag the message above or drag any file or image and drop it on this target to see it work.


riak
Contact Information
Have questions about Riak that aren't answered here? We'd love to hear from you.
Send inquiries to<EMAIL_ADDRESS>to reach the core Riak development team,
or subscribe to the mailing list to discuss Riak with other users.
Contact Information
Have questions about Riak that aren't answered here? We'd love to hear from you.
Send inquiries to<EMAIL_ADDRESS>to reach the core Riak development team,
or subscribe to the mailing list to discuss Riak with other users.


WHIPPED
Review by John Beachem
* 1/2
Directed by: Peter M. Cohen Written by: Peter M. Cohen
Brad (Brian Van Holt), Zeke (Zorie Barber), Jonathan (Jonathan Abrahams), and Eric (Judah Domke) are four of the most morally repugnant guys you're ever likely to meet. Brad, Zeke, and Jonathan spend their weeks trying to scam women into sleeping with them so they can get together on Sundays and brag about who they scored with. Eric, however, is unhappily married and no longer fits in with the group. The other three are enjoying their lifestyle until one day they meet the same girl, Mia (Amanda Peet). Mia is the kind of girl every guy dreams of: beautiful, interesting, intelligent, and she has a real interest in what the guys are into. Soon the three men are battling it out with each other for Mia's affections, each convinced that she likes him more than the others. Mia, meanwhile, claims she simply can't choose one over any of the others because she likes them all equally. Time's running out, the friendship is growing more and more strained, and Eric's life is growing more miserable without the guys to talk to. Will Mia make a choice? Is Mia really scamming them to get even for the way they treat women? Does anyone really care?
To call "Whipped" vulgar would be laughably inadequate. To call it disgusting would be like saying "the holocaust was bad". In the first fifteen minutes of this film I was thinking to myself: "Gee, gross-out humor, what do you know." Within the first twenty five minutes I realized the movie was much more than just your typical gross-out movie.   No, I mean this is a movie designed only for those who want to hear about the most depraved, revolting sexual acts known to man. To enjoy this movie (assuming that's possible) you have to not only hear about these acts, but you have to be able to find them highly amusing. As for me, I just wanted to stand up and run out of the theater, and I saw quite a few people do just that. I decided to stay not because I was enjoying the movie, but out of sheer morbid curiosity. I wanted to see what they could possibly think of that would be more disgusting than the last "joke" I'd heard. I have to hand it to Peter Cohen, he managed to top himself every time.
So, can I recommend the movie on the basis of acting? Not in the slightest. Other than Amanda Peet, every actor was a relative newcomer, and I don't think any of them will go on to great careers. Brian Van Holt plays the reprehensible Brad. However, while Brad is supposed to be worthy of all our hate, Van Holt plays him in such a sickeningly over-the-top way, we eventually start hating Van Holt rather than Brad. Zorie Barber (who also co-produced) plays the loathsome Zeke. While the character of Zeke is certainly worthy of all our hate, the actor is worthy of even more. Whoever told the man to go into a career in acting should be locked away for the good of society. To say Zorie Barber acts poorly would be far too kind. Barber is one of those actors who is obviously running his next line through his head, waiting to say it while the other actors speak. It's the kind of acting you see in your average high school play. Jonathan Abrahams overplays the part of the sensitive guy far too much, but he's not quite as irritating as Van Holt and Barber. Judah Domke does nothing but blink a lot and mutter about how much he hates being married. You're no doubt wondering if Amanda Peet adds some spark of life to this dreary cast. Well, she does, but she's not half as good as she was in "The Whole Nine Yards". I don't think this was her fault, it's just that her last movie was funny, and this one is far from it. Peter Cohen himself shows up in a cameo as a pizza delivery guy; and if I'd known it was him, I would have booed at the screen.
Are there any funny scenes in "Whipped"? I think so, but I can't seem to remember what they are. I'm sure a few real jokes got by me while I was cringing away from the screen in horror. The rest of the audience, made up primarily of teen-agers (that R rating means nothing these days), were laughing, but it was nervous, sporadic laughter. Like I said, quite a few people got up and walked out. I just had to keep repeating to myself, "you're getting paid for this, you're getting paid for this." That didn't help much. In addition to the lack of laughs, the constant gross-outs, and the terrible acting, "Whipped" features some fairly incompetent direction. Peter Cohen is a first time director and a first time screen writer, and his lack of experience combined with his apparent lack of talent makes for a movie which your average college student could have done better. Not only is the comic pacing non-existent, but Cohen throws in occasional interviews with the characters which I don't think were even supposed to be funny (if that's the case, they succeeded admirably). Why are these interviews present? Your guess is as good as mine. I think Cohen wanted to get a message across as well. The message is something like this: love is bad, marriage is worse, guys are evil, women are evil, all people searching for relationships are really short-con operators. If you can think of a more revolting message, let me know.
I hated to say this back in April when it was only a creeping suspicion, but now that it's September, I believe I can safely say that the year 2000 is one of the worst years in cinematic history. If I were forced to make a top ten of the year list right now, I couldn't think of ten films to put on it. If I had to make a bottom ten list, you can rest assured "Whipped" would hold a place of honor (though "Battlefield Earth" still has a firm hold on the number one slot). I'll give this to Peter Cohen - I've never seen anything quite like "Whipped". It's a gross-out comedy without the comedy. It also has no discernable soundtrack other than a goofy number playing while Jonathan runs a vibrator all over himself (don't ask, I don't want to talk about it). There is a little twist at the end of the movie, but you will greet it in one of two ways: either you'll have seen it coming a mile off (I fall under that category), or you simply won't care. Thankfully, the movie only runs 85 minutes, but that's almost an hour and a half too long.  I give it one and a half out of five stars.
Comments? Send to<EMAIL_ADDRESS>Past reviews can be found at: http://www.epinions.com/user-elerad or http://us.imdb.com/ReviewsBy?John+Beachem
* * * * * - One of the best movies of the year. * * * * - Great flick, try and catch this one. * * * - Okay movie, hits and misses. * * - Pretty bad, see it at your own risk. * - See this one only if you enjoy pain.
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The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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new World(currentGame, type)
Its a World Object
Parameters:
| Name | Type | Description |
|---|---|---|
currentGame |
Object | Current Game Object |
type |
String |
- Source:
- World.js, line 20
Methods
-
createAnimation1(object, rotation1, rotation2, duration1, duration2)
-
Loops a sequence of 3 rotation animations.
Parameters:
Name Type Description object
object Is a Lime.js sprite on which the animation is run. rotation1
Number Indicates by which degree the sprite is rotated in the 1st and 3rd animation. rotation2
Number Indicates by which degree the sprite is rotated in the 2nd animation. duration1
Number Indicates the duration of the 1st and 3rd animation. duration2
Number Indicates the duration of the 2nd animation. - Source:
- World.js, line 146
-
createAnimation2(object, rotation1, rotation2, duration1, duration2)
-
Loops a sequences of 3 rotation animations.
Parameters:
Name Type Description object
object Is a Lime.js sprite on which the animation is run. rotation1
Number Indicates by which degree the sprite is rotated in the 1st animation. rotation2
Number Indicates by which degree the sprite is rotated in the 2nd and 3rd animation. duration1
Number Indicates the duration of the 1st animation. duration2
Number Indicates the duration of the 2nd and 3rd animation. - Source:
- World.js, line 181
-
destruct()
-
Destructor - Cleans up all Lime Elements and DataStructures
- Source:
- World.js, line 210
-
spin()
-
Spin the World. Calls createAnimation1 or createAnimation2 for every sprite.
- Source:
- World.js, line 127


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New Remarks
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Announcement Content


| < Day Day Up > |
This chapter studies the aspects of NP-completeness that bear most directly on the analysis of algorithms. In Section 34.1, we formalize our notion of "problem" and define the complexity class P of polynomial-time solvable decision problems. We also see how these notions fit into the framework of formal-language theory. Section 34.2 defines the class NP of decision problems whose solutions can be verified in polynomial time. It also formally poses the P ≠ NP question.
Section 34.3 shows how relationships between problems can be studied via polynomial-time "reductions." It defines NP-completeness and sketches a proof that one problem, called "circuit satisfiability," is NP-complete. Having found one NP-complete problem, we show in Section 34.4 how other problems can be proven to be NP-complete much more simply by the methodology of reductions. The methodology is illustrated by showing that two formula-satisfiability problems are NP-complete. A variety of other problems are shown to be NP-complete in Section 34.5.
| < Day Day Up > |


Here is the first option
The second option
The third option
These should not be affected by superCuteForms:
button


 %}
Sum: {{ form.instance.sum }}
{% endwith %}There were errors in your form, please correct them and submit again.
PRIVATE TO REVIEWERS
{% endif %} {% user_display message.user %} {{ message.submitted_at|timesince }} ago{{ message.message|safe }}


Akan names are derived from Ghanian culture. Frequently in Ghana, children are given their first name as a 'day name' which corresponds to the day in the week they were born.
Fill the following to get your akan name,on day fill in the date and for the year input the last two digits of the year


| Removing PopUps |
For the PopUp's in the PopUps that will be closed list, you may either remove them from the list, or temporarily disable a selected PopUp.
To permanently remove a PopUp from the list:
- Right click its name. A pulldown menu will appear.
- Click the Remove option from the pulldown menu.
To temporarily disable a PopUp:
- Clear its checkbox by clicking on it
To re-enable it:
- Simply mark the checkbox by clicking it again


 I hope you liked it." %}
{% trans "After seeing the capabilities of machine learning in this example, you may be curious about how it works, and want to learn more. The specific model used in this application is called a convolutional neural network. This type of artificial neural network is commonly used for analysis on images, but it can also be used in other situations." %}
{% trans "The following 15-minute video from Michael Pound at the University of Nottingham may be a good place to start exploring the topic. It also points to other simple videos if you are still curious or confused." %}
{% trans "This Web application uses the open-source API TensorFlow Object Detection developed by Google Brain for its calculations. TensorFlow is a powerful tool you can use to implement machine learning techniques without building everything from scratch. If you want to learn how the different components of a neural network interact, visit the awesome TensorFlow Playground, and play with all the parameters of a network to see how it affects predictions. Take a look at it " %}{% trans "here" %}{% trans "." %}
{% trans "I assembled this Web application by adapting the model produced by the work of Tadej Magajna. That model itself is an adaptation of the Faster-RCNN-Inception-V2 model retrained on images of Wally. Take a look at his work " %}{% trans "here" %}{% trans "." %}
{% trans "If you are interested, I uploaded some of the important files for this project on my GitHub page " %}{% trans "here" %}{% trans ". " %}
{% trans "Take care," %}
Paul


--- layout: post title: Funny human nature tags: [rant] ---
As I’m very much in a ranting mood…
A few weeks ago, bored one night, I was cruising a wiki somewhere on the internet. One of the page was talking about a meeting where they were to discuss an issue I was interested in. Not providing any contact information and not showing any will to have any feedback, I thought, well, let’s wiki the question, hopefully it’ll be taken into account and I could even get an answer. After all, we are all going for the same goal right?
The meeting happened but it completely slipped my mind. I did go there again today, to read the summary of what was discussed and decided. My question brought no answer, but they did decide to act upon something:
“Prevent people from outside our group to edit our Wiki”.
I’m speechless. And a bit depressed..


We are a team that can help u with web design , we studied at JCE acadimic,just contact us.
Very talented guy , and can help u always
Photoshop and web designer.
Team Driver.
Cook for the Team
take pictures of the team


Dashboard - Community Emergency Response Hub
Open Cases - Web
{{ webreport }}
Open Cases - SMS
{{ sms }}
Assigned Cases
{{ assigned }}
Closed Cases
{{ closed }}
Last Updated Date/Time:
Volenteer Hub
Sign out


My name is Joe and I will ask you a series of questions.
Result one will print here.
Result two will print here.
Result three will print here.
Result four will print here.
Result five will print here.


"x" "1" "WELLS,DA, THOMAS,HF AND DIGENIS,GA, MUTAGENICITY AND CYTOTOXICITY OFN-METHYL-2-PYRROLIDINONE AND 4-(METHYLAMINO)BUTANOIC ACID IN THESALMONELLA/MICROSOME ASSAY, J. APPL. TOXICOL. 8(2):135-139, 1988"


Front Man
Ruby on Rails
jQuery Ninja
Typographer
Product Manager
Angular Ace
Node King
Putting the customer's needs first, we gather requirements face-to-face. Smiles are free.
Our systems are put together with precision and special attention to customer requests.
We can't describe our programming techniques for fear of lawsuits relating to head-implosions.
Our products are guaranteed to be peanut-free. We make no guarantees about legumes (or bugs).


Reflecting on - Chapter 1 -Search Inside Yourself
What learnings did you take from the chapter?
From the first chapter, I learned a great deal more about the concept of emotional intelligence. Emotional intelligence-(EQ) "is the ability to monitor one's own and others' feelings and emotions, to discriminate among them and to use this information to guide one's thinking and actions". Emotional Intelligence has direct benefits both intra-personally and inter-personally. The main benefits are:
- Stellar work performance
- Outstanding leadership
- The ability to create the conditions for happiness
The key to cultivating EQ is mindfulness. Mindfulness teaches us to be present, to be in the moment. Mindfulness is used to train a quality of attention that is both strong in clarity and stability. Jon-Kabut-Zinn defines mindfulness as "paying attention in a particular way, on purpose, in the present moment and non-judgmentally".
How did you find the two minutes of mindfulness?
Difficult, if you are not used to this concept, it is actually very hard to just be, not physically but mentally. Shutting your mind off even for such a short period of time is really hard. My mind just wandered so easily and I had to reign it back in so many times and refocus on the task at hand which was just being. Focusing on my breathing helped as it was something to concentrate on.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/optional.20proofs.20for.20type.20class.20inference.html ---
At the moment we have two types for integers mod n zmod
and zmodp
depending on whether n
is prime
or not, so that the field instance can be synthesized. This means that a lot of proofs are duplicated. I think there are other places where this sort of problem could come up.
Here's an idea I came up with that might make this nicer
mport data.nat.prime inductive option' (α : Sort*) : Sort* | none {} : option' | some : α → option' def zmod (n : ℕ) (h : option' n.prime := option'.none) : Type := fin n
This way proofs that apply whether or not n
is prime can be stated in full generality in one statement, and the field instances can be put on the type zmod n (some _)
What do people think of this strategy?
Alternatively, we make a coe
from nat.primes
to pnat
. And we ditch zmodp
. Then just use zmod
.
Then the idea is to put the instance on zmod ((coe : primes -> pnat) p)
?
the field instance I mean
Exactly
Parts of the library are currently using [nat.prime p]
. But then, we can't write instance : nat.prime (ring_char k)
for finite fields k
. Because nat.prime
is not actually a class.
Otoh, maybe ring_char
is actually bad. If you have 3 or more fields, it might be more practical to show that they all have char_p _ p
then showing that they all pairwise have the same ring_char
.
This seems sensible to me. Because you almost always have the assumption p.prime
as an assumption to the theorem, it shouldn't be as annoying as pnat
, because you never start with a natural number and then prove it's prime like you do with positivity. I think perhaps refactors like this should wait until Lean 4 when we know exactly what type class inference will be like
Last updated: Apr 24 2020 at 19:02 UTC


Stratigraphic API Plots - Tester
Select Dataset Type and Dataset ID
Select data type:
pollen
ostracode
diatom
vertebrate fauna
Dataset Id:
Stratigraphic Diagram
Demo controls:
Filter and Group Data
Enter genus to group by (separate with ";"):
Variable Unit:
Top Taxa:
Apply Filter & Group Settings
Chart Interaction
Y Axis:
Select Chart Type:
Filled Area
Bar Chart
Symbol Plot
Show 5x Exaggeration
Ecology Group ID


Akan names are names from Ghan that the parents give to there children according to the day of the week they were born.
As a user you will be required to enter your Birth year,Month you were born,the date of birth and also you gender.So as you enter you birth information you will be able to see you Akan name and you will also see the day you were born.


Every day, there seems to be something new happening in the Gannon Community. EngageU helps make it easier by organizing all of the information for us. With knowledge on how to use EngageU effectively, we can successfully find organizations that interest us, find fun upcoming events, and even connect with more Gannon students.
1. In order to manage your account settings you will have to sign in first. In the upper right hand corner of the home page you will notice a large blue button labled, "SIGN IN". Click that button.
2. You will now be prompted to enter your network credentials, these will be the same credentials you use for Office 365, Blackboard, MyGannon, etc. After this has been done, click the green "Sign In" button.
3. After being redirected to the home page you will now notice a large circular button in the upper right hand corner with the initial of your first name. Once that is clicked, click the first option that shows up in the navigation bar.
On this page you will be able to manage your profile, privacy settings, how you receive notifications, and interests. By setting these up properly, you will certainly enrich your experience you have on engageU.
Searching for organizations is made very easy with EngageU. It can be a bit overwhelming with all of the clubs and organizations offered at Gannon. Luckily with the tools shown in this feature, you will learn how to accomplish this fast and effectively.
1. After logging in, you will notice a large search bar in the middle of the home page. This can be very effective if you already know the club or organization you are looking for.
2. This method is much more useful when you do not know exactly what clubs and organizations are out there. By following the steps below you can get to the page.
1. Sign in with your Gannon Network ID and Passowrd if not done already
2. On the main navigation bar, click "ORGANIZATIONS"
On this page you can find an organization that suits your interest very easily! You can now filter down organizations that suit your interests and see the results on the right hand side of the page.
Contacting an organization is easy to achieve on EngageU. By contacting an organization at Gannon you can accomplish many things wheter it be stating your interest in them, reporting a problem you have with them, getting information about an upcoming event, and much more!
1. After logging in, look for the "ORGANIZATIONS" tab in the upper left hand corner of the navigation bar.
2. After getting redirected to the page, you can now either filter the organizations by using the Category radio buttons or searching the organization directly.
3. Once you have found the organization you are looking for, go ahead and click on it. Once redirected to that organization's page click on the "CONTACT" button.
4. Now, fill out the form and be sure to include your Name, Email Address, and Subject. For the Subject dropdown there are many options available including, "Interested in Getting Involved, Inquiring About an Upcoming Event, Reporting a Concern, Media or Publicity Inquiry, Oppurtunity to Collaborate, and Other".
5. When you are satisfied with your mesage, you can then submit the form.
All you have to do now is be patient and a representative from that organization should be in contact with you shortly!
One of the largest used features on EngageU is finding interesting upcoming events on campus. Luckily, EngageU provides powerful functionality to help you narrow down on events that you would like to attend.
1. After logging in, you will notice a large search bar in the middle of the home page. This can be very effective if you already know the event you are looking for and just wish to obtain more details about it.
2. When you are trying to find events that interest you and don't know where to start, then clicking the "Events" tab in the upper left hand side of the navigation bar can help you achieve that. With the steps below, you can help narrow down events that cater to your interests.
1. Sign in with your Gannon Network ID and Passowrd if not done already
2. On the main navigation bar, click "ORGANIZATIONS"
On this page you can find an organization that suits your interest very easily! You can now filter down organizations that suit your interests and see the results on the right hand side of the page.
Starting discussion on a recently upcoming news article uploaded can be a powerful way to clarify any misunderstandings, voice your opinion on subject matter, or even reach out to people who have similar opinions to you on a news article!
1. If you are not logged in, you will first need to do so by clicking the blue "Sign In" button in the top right hand corner of the website. You will be unable to start a discussion without logging in.
2. Once logged in, on the main navigation bar you will see a tab labled "News". Click on that link.
3. On this page you will notice a list of recent news atricles in which you will be able to click into.
4. After exploring the news article that you are interesting in starting a discussion on, you will be able to do so at the bottom of the page.
Once you are satisfied with your discussion thread post, other people will be able to see it and react to it!


Don't wait to start with your javascript and typescript projects.
Read Getting started to learn how to start using Witney for your next projects.
Features
- 📦 Bundles with microbundle
- 🧹 Formatting with prettier
- 📏 Tests and coverage with jest and ts-jest
- 🧢 Markdown site generation with mallery
- 🎰 Versioning with standard-version
- 🧰 Packed with commonly used dev scripts
- All written with 🧩 extensibility in mind
- Scripts for Building, Testing, Coverage, Server starting
- 🔖 Badges generator
- 👨🏼⚖ Typescript d.ts proxies
- 🧐 Dependency license check
- 👽 Dependency gyp check


| Initial speed | Sometimes known as u and for this application you are too assume that u is always 0. |
| Final speed |
The formula for this is: v = u + at. u is initial speed (= 0). v is final speed. t is time since being at the top of the slope. a is acceleration (requires a different method of calculation, see below). |
| Force going down the hill |
The formula is: mg sin θ m is the mass of the vehicle. g is the acceleration due to gravity. θ is the angle of the incline. |
| Frictional force going up the hill | Frictional force is calculated by taking the chosen coefficient of friction and multiplying it by the reaction force to the surface of the incline. |
| Reaction force on the incline |
Reaction force on the surface is equivalent to: mg cos θ m is mass g is acceleration due to gravity θ is the incline angle |
| θ | This is generated when the game begins and is displayed below the animation window as θ = ... |
| Speed going down the hill |
This is a derived formula for speed: at a is acceleration t is time that has passed when the vehicle is at the point on the slope. |
| Distance down the hill |
For this we use one the equations of constant acceleration s = ut + 0.5at2 ...and since u = 0, s = 0.5at2. |
| Mass of chosen vehicle | You should be able to see that from the starting vehicles you've chosen and is displayed below the animation window. |
| μ | You should be able to see that from the environment select screen you've chosen and is deisplayed below the animation window. |
| Time | Will always be displayed in the question. |
| Gravity on earth | Take g = 9.8 not 9.81, please don't forget. |
| Acceleration | Uses resultant force = force going down the slope - frictional force. |


Across: 1. Twelve in hearing request depraved ends all get dropped for a very long time (8) 5,10. Kiwi manager (game warden of 1 across park) with priestly garb right, but Reverend's "light in the darkness" not so bright (6 7) 11. Disturbed a mole at breakfast perhaps (7) 12,13. 16 across on a 19 falsely presented "clean" with bully having samples swapped (5 9) 14. I say terrible things about kiwi perhaps (8) 16. Some douche attempting victory may unfortunately involve this (5) 18. Name of a bell which is cracked (5) 20. Fast ones 16 across; she is reformed (8) 23. Annoying sound of fashionable hearing perhaps (9) 26,27. One of the 25 in distress... see about something to adjust locks (5 7) 28. Obscure part of rap: love composition! (7) 29. Fast and sleazy conquest of Penny (6) 30. Obscure stereo remix... I see sound! (8) Down: 1. Sweet accepts extremes of mental confusion (6) 2. Winter freeze finishes fast, leading to strong yields (7) 3. Uprising leads to new allowances provided (9) 4. Former territory incorporated back into Bahrain oilfields (5) 6. Some musicians etc. to reform (5) 7. Obscure Yes or ELP piece, something not enjoyed visually (7) 8. Going through this comes at a cost, but all get to work (8) 9. Bully taking 2K in trade (8) 15. 16 across welcomed change of ends (8) 16. Most infectious creature, one getting into the core of your being (9) 17. In raised doses, pill excludes eggs being drawn (8) 19. Some climb icy cleft, which is best to do in good weather (7) 21. She must overcome many obstacles every time she competes (7) 22. Having a hard time seeing half the bits taken from story of life in cinema I created (6) 24. Is he unsettled? No, insane! (5) 25. Uprising leads to some new (or old) gifts for thugs (5)


Await
The AsyncFunctionAwait abstract operation could probably be refactored in terms of this primitive.
Algorithm steps that say
1. Let _completion_ be Await(_promise_).
mean the same thing as:
1. Let _asyncContext_ be the running execution context.
1. Let _promiseCapability_ be ! NewPromiseCapability(%Promise%).
1. Perform ! Call(_promiseCapability_.[[Resolve]], *undefined*, « _promise_ »).
1. Let _onFulfilled_ be a new built-in function object as defined in .
1. Let _onRejected_ be a new built-in function object as defined in .
1. Set _onFulfilled_ and _onRejected_'s [[AsyncContext]] internal slots to _asyncContext_.
1. Let _throwawayCapability_ be NewPromiseCapability(%Promise%).
1. Set _throwawayCapability_.[[Promise]].[[PromiseIsHandled]] to *true*.
1. Perform ! PerformPromiseThen(_promiseCapability_.[[Promise]], _onFulfilled_, _onRejected_, _throwawayCapability_).
1. Remove _asyncContext_ from the execution context stack and restore the execution context that is at the top of the execution context stack as the running execution context.
1. Set the code evaluation state of _asyncContext_ such that when evaluation is resumed with a Completion _completion_, the following steps of the algorithm that invoked Await will be performed, with _completion_ available.
where all variables in the above steps, with the exception of _completion_, are ephemeral and visible only in the steps pertaining to Await.
Await can be combined with the `?` and `!` prefixes, so that for example
1. Let _value_ be ? Await(_promise_).
means the same thing as:
1. Let _value_ be Await(_promise_).
1. ReturnIfAbrupt(_value_).
Await Fulfilled Functions
An Await fulfilled function is an anonymous built-in function that is used as part of the Await specification device to deliver the promise fulfillment value to the caller as a normal completion. Each Await fulfilled function has an [[AsyncContext]] internal slot.
When an Await fulfilled function _F_ is called with argument _value_, the following steps are taken:
1. Let _asyncContext_ be _F_.[[AsyncContext]].
1. Let _prevContext_ be the running execution context.
1. Suspend _prevContext_.
1. Push _asyncContext_ onto the execution context stack; _asyncContext_ is now the running execution context.
1. Resume the suspended evaluation of _asyncContext_ using NormalCompletion(_value_) as the result of the operation that suspended it.
1. Assert: When we reach this step, _asyncContext_ has already been removed from the execution context stack and _prevContext_ is the currently running execution context.
1. Return *undefined*.
The `length` property of an Await fulfilled function is 1.
Await Rejected Functions
An Await rejected function is an anonymous built-in function that is used as part of the Await specification device to deliver the promise rejection reason to the caller as an abrupt throw completion. Each Await rejected function has an [[AsyncContext]] internal slot.
When an Await rejected function _F_ is called with argument _reason_, the following steps are taken:
1. Let _asyncContext_ be _F_.[[AsyncContext]].
1. Let _prevContext_ be the running execution context.
1. Suspend _prevContext_.
1. Push _asyncContext_ onto the execution context stack; _asyncContext_ is now the running execution context.
1. Resume the suspended evaluation of _asyncContext_ using Completion{[[Type]]: ~throw~, [[Value]]: _reason_, [[Target]]: ~empty~} as the result of the operation that suspended it.
1. Assert: When we reach this step, _asyncContext_ has already been removed from the execution context stack and _prevContext_ is the currently running execution context.
1. Return *undefined*.
The `length` property of an Await rejected function is 1.


Straight from Italy
Levy's Pizzeria is the typical italian country house made of bricks or stone with
a warm and charming athmosphere.
At Levy's Pizzeria you can feel the real italian ambience, from the background music to the menu, rich of caracteristic courses in their original recipes.
Prepared with great attention to details and passions, we only use organic and fresh ingredients.
Our menu accommodates multiple courses originated in different part of Italy.
Our extended and carefully curated wine list compliments your ultimate italian experience.


Functions for analysis of data generated from experiments in augmented randomised complete block design according to Federer, W.T. (1961) <doi:10.2307/2527837>. Computes analysis of variance, adjusted means, descriptive statistics, genetic variability statistics etc. Further includes data visualization and report generation functions.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.0.1) |
| Imports: | emmeans, dplyr, flextable, ggplot2, grDevices, methods, moments, multcomp, multcompView, Rdpack, stats, stringi, officer, reshape2, utils |
| Published: | 2018-07-10 |
| Author: | J. Aravind [aut, cre], Mukesh Sankar S. [aut], Dhammaprakash Pandhari Wankhede [aut], Vikender Kaur [aut], ICAR-NBGPR [cph] |
| Maintainer: | J. Aravind <j.aravind at icar.gov.in> |
| BugReports: | https://github.com/aravind-j/augmentedRCBD/issues |
| License: | GPL-2 | GPL-3 |
| Copyright: | 2015-2018, ICAR-NBPGR |
| URL: | https://github.com/aravind-j/augmentedRCBD |
| NeedsCompilation: | no |
| Citation: | augmentedRCBD citation info |
| Materials: | README NEWS |
| CRAN checks: | augmentedRCBD results |
| Reference manual: | augmentedRCBD.pdf |
| Package source: | augmentedRCBD_0.1.0.tar.gz |
| Windows binaries: | r-devel: augmentedRCBD_0.1.0.zip, r-release: augmentedRCBD_0.1.0.zip, r-oldrel: augmentedRCBD_0.1.0.zip |
| OS X binaries: | r-release: augmentedRCBD_0.1.0.tgz, r-oldrel: augmentedRCBD_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=augmentedRCBD to link to this page.


Parse and generate GPX files easily on iOS, watchOS & macOS.
What is CoreGPX?
CoreGPX is a port of iOS-GPX-Framework to Swift language.
CoreGPX currently supports all GPX tags listed in GPX v1.1 schema, along with the recent addition of GPX v1.0 support. It can generate and parse GPX compliant files on iOS, macOS and watchOS.
As it makes use of XMLParser
for parsing GPX files, CoreGPX is fully dependent on the Foundation
API only.
Features
- [x] Successfully outputs string that can be packaged into a GPX file
- [x] Parses GPX files using native XMLParser
- [x] Support for iOS, macOS & watchOS
- [x] Supports
Codable
in essential classes - [x] Enhanced full support for
GPXExtensions
for both parsing and creating. - [x] Lossy GPX compression. Check out GPXCompressor for an implementation of this new feature.
- [x] (new) Legacy GPX support. (GPX 1.0 and below)
Documentation
CoreGPX is documented using jazzy.
You can read the documentation here, which documents most of the important features that will be used for parsing and creating of GPX files.
Installation
CoreGPX supports CocoaPods, Carthage, as well as Swift Package Manager, such that you can install it, any way you want.
To install using CocoaPods, simply add the following line to your Podfile:
pod 'CoreGPX'
CoreGPX works with Carthage as well, simply add the following line to your Cartfile:
github "vincentneo/CoreGPX"
How to use?
Check out the wiki page for some basic walkthroughs of how to use this library.
Alternatively, you may check out the Example app, by cloning the repo, pod install
and running the Example project.
To know in-depth of how CoreGPX can be used in a true production setting, please refer to awesome projects like iOS-Open-GPX-Tracker or Avenue GPX Viewer, both of which, uses CoreGPX.
Extras
Check out the Extras folder for some extra helper codes that may help you with using CoreGPX. Simply drag and drop it into your project to use.
GPX+CLLocation.swift
: ConvertingCLLocation
type toGPXWaypoint
,GPXTrackPoint
and more.
Contributing
Contributions to this project will be more than welcomed. Feel free to add a pull request or open an issue. If you require a feature that has yet to be available, do open an issue, describing why and what the feature could bring and how it would help you!
Previous Builds Logs
History of older build logs can be found at Travis CI:
CoreGPX recently switched to GitHub Actions due to the loss of free tier Travis CI for open sourced Mac-based projects.
Like the project? Check out these too!
- iOS-Open-GPX-Tracker, an awesome open-sourced GPS tracker for iOS and watchOS.
- Avenue GPX Viewer, a GPX file viewer, written for macOS 10.12 and above.
- LocaleComplete, a small library to make
Locale
identifier hunting more easy and straightforward.
License
CoreGPX is available under the MIT license. See the LICENSE file for more info.


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Course Structure
Welcome to the react starter course! The purpose of this course is to get you comfortable working in an advanced front-end environment quickly. By the end of this course, you should:
- be familiar with react
- understand how to think about building UIs with components
- understand when and why to use state
- have experience building a number of components and small apps
Because there's no better way to learn than doing, this course is project-focused. You will be introduced to react concepts and new javascript features as they are needed to accomplish projects. Each project description should list out the topics that are needed to successfully complete the project. Any react topics covered leading up to a project are specifcally needed for that project. Once we've covered an ES6 topic, you should try to use your new knowledge in all of the projects that follow.
Prerequisites
This course assumes that you have a solid command of HTML and CSS, and at least a decent command of javascript. If any of those things are not true, your first stop should be one of the following:
Hello World
The react library is required to create react components. The react-dom library has functions for rendering react components to the DOM. The function used for client-side rendering is called render and it accepts two arguments: a react component, a DOM target.
- Learn HTML & CSS
- Learn JavaScript


pusion.evaluation.evaluation_metrics module¶
- pusion.evaluation.evaluation_metrics.micro_precision(y_true, y_pred)¶
Calculate the micro precision, i.e. TP / (TP + FP).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The micro precision.
- pusion.evaluation.evaluation_metrics.micro_recall(y_true, y_pred)¶
Calculate the micro recall, i.e. TP / (TP + FN).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The micro recall.
- pusion.evaluation.evaluation_metrics.micro_f1(y_true, y_pred)¶
Calculate the micro F1-score, i.e. 2 * (Precision * Recall) / (Precision + Recall).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The micro F1-score.
- pusion.evaluation.evaluation_metrics.micro_f2(y_true, y_pred)¶
Calculate the micro F2-score (beta=2).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The micro F2-score.
- pusion.evaluation.evaluation_metrics.micro_jaccard(y_true, y_pred)¶
Calculate the micro Jaccard-score, i.e. TP / (TP + FP + FN).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The micro Jaccard-score.
- pusion.evaluation.evaluation_metrics.macro_precision(y_true, y_pred)¶
Calculate the macro precision, i.e. TP / (TP + FP).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The macro precision.
- pusion.evaluation.evaluation_metrics.macro_recall(y_true, y_pred)¶
Calculate the macro recall, i.e. TP / (TP + FN).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The macro recall.
- pusion.evaluation.evaluation_metrics.macro_f1(y_true, y_pred)¶
Calculate the macro F1-score, i.e. 2 * (Precision * Recall) / (Precision + Recall).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The macro F1-score.
- pusion.evaluation.evaluation_metrics.macro_f2(y_true, y_pred)¶
Calculate the macro F2-score (beta=2).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The macro F2-score.
- pusion.evaluation.evaluation_metrics.macro_jaccard(y_true, y_pred)¶
Calculate the macro Jaccard-score, i.e. TP / (TP + FP + FN).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
The macro Jaccard-score.
- pusion.evaluation.evaluation_metrics.accuracy(y_true, y_pred)¶
Calculate the accuracy, i.e. (TP + TN) / (TP + FP + FN + TN).
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
Accuracy.
- pusion.evaluation.evaluation_metrics.balanced_multiclass_accuracy(y_true, y_pred)¶
Calculate the balanced accuracy, i.e. (Precision + Recall) / 2.
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
Accuracy.
- pusion.evaluation.evaluation_metrics.mean_multilabel_confusion_matrix(y_true, y_pred)¶
Calculate the normalized mean confusion matrix across all classes.
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
numpy.array of shape (n_classes, n_classes). Normalized mean confusion matrix.
- pusion.evaluation.evaluation_metrics.mean_confidence(y_true, y_pred)¶
Calculate the mean confidence for continuous multiclass and multilabel classification outputs.
- Parameters
y_true – numpy.array of shape (n_samples, n_classes). True class assignments.
y_pred – numpy.array of shape (n_samples, n_classes). Predicted class assignments.
- Returns
Mean confidence.
- pusion.evaluation.evaluation_metrics.hamming(y_true, y_pred)¶
Calculate the average Hamming Loss.
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
Average Hamming Loss.
- pusion.evaluation.evaluation_metrics.log(y_true, y_pred)¶
Calculate the Logistic Loss.
- Parameters
y_true – numpy.array of shape (n_samples,) or (n_samples, n_classes). True labels or class assignments.
y_pred – numpy.array of shape (n_samples,) or (n_samples, n_classes). Predicted labels or class assignments.
- Returns
Logistic Loss.
- pusion.evaluation.evaluation_metrics.cohens_kappa(y1, y2, labels)¶
Calculate the Cohen’s Kappa annotator agreement score according to 1.
- 1
Jacob Cohen. A coefficient of agreement for nominal scales. Educational and psychological measurement, 20(1):37–46, 1960.
- Parameters
y1 – numpy.array of shape (n_samples,) or (n_samples, n_classes). Labels or class assignments.
y2 – numpy.array of shape (n_samples,) or (n_samples, n_classes). Labels or class assignments.
labels – list of all possible labels.
- Returns
Cohen’s Kappa score.
- pusion.evaluation.evaluation_metrics.pairwise_cohens_kappa(decision_tensor)¶
Calculate the average of pairwise Cohen’s Kappa scores over all multiclass decision outputs. E.g., for 3 classifiers (0,1,2), the agreement score is calculated for classifier tuples (0,1), (0,2) and (1,2). These scores are then averaged over all 3 classifiers.
- Parameters
decision_tensor – numpy.array of shape (n_classifiers, n_samples, n_classes). Tensor of crisp multiclass decision outputs by different classifiers per sample.
- Returns
Pairwise (averages) Cohen’s Kappa score.
- pusion.evaluation.evaluation_metrics.correlation(y1, y2, y_true)¶
Calculate the correlation score for decision outputs of two classifiers according to Kuncheva 2.
- 2(1,2)
Ludmila I Kuncheva. Combining pattern classifiers: methods and algorithms. John Wiley & Sons, 2014.
- Parameters
y1 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the first classifier.
y2 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the second classifier.
y_true – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Correlation score.
- pusion.evaluation.evaluation_metrics.q_statistic(y1, y2, y_true)¶
Calculate the Q statistic score for decision outputs of two classifiers according to Yule 3.
- 3
G Udny Yule. On the association of attributes in statistics: with illustrations from the material of the childhood society, &c. Philosophical Transactions of the Royal Society of London Series A, 194:257–319, 1900.
- Parameters
y1 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the first classifier.
y2 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the second classifier.
y_true – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Correlation score.
- pusion.evaluation.evaluation_metrics.kappa_statistic(y1, y2, y_true)¶
Calculate the kappa score for decision outputs of two classifiers according to Kuncheva 2.
- Parameters
y1 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the first classifier.
y2 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the second classifier.
y_true – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Kappa score.
- pusion.evaluation.evaluation_metrics.disagreement(y1, y2, y_true)¶
Calculate the disagreement for decision outputs of two classifiers, i.e. the percentage of samples which are correctly classified by exactly one of the classifiers.
- Parameters
y1 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the first classifier.
y2 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the second classifier.
y_true – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Disagreement score.
- pusion.evaluation.evaluation_metrics.double_fault(y1, y2, y_true)¶
Calculate the double fault for decision outputs of two classifiers, i.e. the percentage of samples which are misclassified by both classifiers.
- Parameters
y1 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the first classifier.
y2 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the second classifier.
y_true – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Double fault score.
- pusion.evaluation.evaluation_metrics.abs_correlation(y1, y2, y_true)¶
Calculate the absolute correlation score for decision outputs of two classifiers.
- Parameters
y1 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the first classifier.
y2 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the second classifier.
y_true – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Correlation score.
- pusion.evaluation.evaluation_metrics.abs_q_statistic(y1, y2, y_true)¶
Calculate the absolute Q statistic score for decision outputs of two classifiers.
- Parameters
y1 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the first classifier.
y2 – numpy.array of shape (n_samples, n_classes). Crisp multiclass decision outputs by the second classifier.
y_true – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Correlation score.
- pusion.evaluation.evaluation_metrics.pairwise_correlation(decision_tensor, true_assignments)¶
Calculate the average of the pairwise absolute correlation scores over all decision outputs.
- Parameters
decision_tensor – numpy.array of shape (n_classifiers, n_samples, n_classes). Tensor of crisp multiclass decision outputs by different classifiers per sample.
true_assignments – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Pairwise correlation score.
- pusion.evaluation.evaluation_metrics.pairwise_q_statistic(decision_tensor, true_assignments)¶
Calculate the average of the pairwise absolute Q-statistic scores over all decision outputs.
- Parameters
decision_tensor – numpy.array of shape (n_classifiers, n_samples, n_classes). Tensor of crisp multiclass decision outputs by different classifiers per sample.
true_assignments – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Pairwise correlation score.
- pusion.evaluation.evaluation_metrics.pairwise_kappa_statistic(decision_tensor, true_assignments)¶
Calculate the average of pairwise Kappa scores over all decision outputs. Multilabel class assignments are transformed to equivalent multiclass class assignments.
- Parameters
decision_tensor – numpy.array of shape (n_classifiers, n_samples, n_classes). Tensor of crisp multiclass decision outputs by different classifiers per sample.
true_assignments – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Pairwise kappa score.
- pusion.evaluation.evaluation_metrics.pairwise_disagreement(decision_tensor, true_assignments)¶
Calculate the average of pairwise disagreement scores over all decision outputs. Multilabel class assignments are transformed to equivalent multiclass class assignments.
- Parameters
decision_tensor – numpy.array of shape (n_classifiers, n_samples, n_classes). Tensor of crisp multiclass decision outputs by different classifiers per sample.
true_assignments – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Pairwise disagreement score.
- pusion.evaluation.evaluation_metrics.pairwise_double_fault(decision_tensor, true_assignments)¶
Calculate the average of pairwise double fault scores over all decision outputs. Multilabel class assignments are transformed to equivalent multiclass class assignments.
- Parameters
decision_tensor – numpy.array of shape (n_classifiers, n_samples, n_classes). Tensor of crisp multiclass decision outputs by different classifiers per sample.
true_assignments – numpy.array of shape (n_samples, n_classes). Matrix of crisp class assignments which are considered as true.
- Returns
Pairwise double fault score.
- pusion.evaluation.evaluation_metrics.pairwise_euclidean_distance(decision_tensor)¶
Calculate the average of pairwise euclidean distance between decision matrices for the given classifiers.
- Parameters
decision_tensor – numpy.array of shape (n_classifiers, n_samples, n_classes). Tensor of crisp multiclass decision outputs by different classifiers per sample.
- Returns
Pairwise euclidean distance.


Apache Flex is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator.
Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects.
While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.
Notice: Apache and Apache Flex are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Version 2.2.2
- Fixed an issue with ISupportSearchValue2<T> where the first search value was
being returned instead of the second.
- SearchXxField and SearchCustomField now have a common IBasicSearchField
interface.
Version 2.2.1
- New generic Interfaces added to expose common search fields
- ISupportSearchOperator<T>, ISupportSearchValue<T>, ISupportSearchValue2<T>
Version 2.2.0
New Features
Core Library
- Support for NetSuite Async methods
- The new StatusResponse static class contains utility methods
to,
- examine a Webservices response for error reports, warnings
- retrieve all status details as a concatanated string
- convert the response to a StatusErrorException with the
concatanated status detail string as the exception's description
- Supports configuring via app.config or web.config files
- Do not use the config files to store the password in plain text. Add custom
logic in your code to inject the password or to decrypt an encrypted password
read off the file
- Pre / post processing and error handling via events
- NetSuiteServiceBase (base class for the ServiceManager
and ServicePool) exposes 3 events (OnBeforeServicesInvocation,
OnAfterServiceInvocation, OnServiceInvocationError) that makes it possible for
your code to be notified before and after a webservice request is made and also
to handle an error returned by NetSuite during the invocation. This is useful in
GUI apps (for notifying end-users), logging, forcing retries or for last minute
adjustment to data sent/received.
- Additionally, the NetSuiteServiceManager raises Before/After
Batch Upload/Delete events when it processes records in batches (i.e. when
processing AddList/UpdateList/DeleteList requests that contain more records than
Add/Update/DeleteRequestSize setting).
- CustomFieldDictionary is a read/write dictionary of custom
fields that simplifies working with Custom Field lists on entity records
- Create the dictionary from an entity records (e.g. retrieved via Get(..) ) as
var customFields = new
CustomFieldDictionary(rec.customFieldList)
- Use GetLong(customFieldId), GetBoolean(customFieldId), etc methods to easily
retrieve the field value. The methods returns nullable values and does not throw
exceptions if the value does not exist.
- In order to add a new custom fields list to a record, start with an empty
dictionary as var customFields = new
CustomFieldDictionary()
- Use SetValue(fieldId, ...) methods to assign values. The methods will generate
the appropriate CustomFieldRef based on the supplied value.
- When done, assign the field list to the entity record as
rec.customFieldList = customFields.ToArray()
- Added frequently used methods to Record, BaseRef, and other base classes
- E.g. GetInternalId(), SetInternalId()
- New Interfaces introduced to ease the writing of reusable code
- E.g. ISearchAdvanced, ISearchCustomField, ISearchRecord, ISupportsCustomFields
Service Manager Utility Library (Experimental)
- SearchRowCustomFieldDictionary: Similar to the CustomFieldDictionary but, for
working with Advanced Search results
- Added extension methods to simplify the extraction of custom field values off
Advanced Search restults
- Added extension methods to simplify the extaction of standard field values off
Advanced Search results
- Added GetValue, SetValue extension methods to simplify working with Custom
Fields
Notable Changes
- Built for NetSuite WSDL 2011.1
- Optimized for .NET 3.5 utilizing extension methods and lambdas
- Improved performance by minimizing reflection favoring lambdas and code
generation where applicable
- ServiceManager and the ServicePool classes have been redesigned to support for
depenancy injection and mocking for better unit testability of your code.
You can now test your code without having to make actual Webservices calls.
- Uses Request Level Authentication by default.
- When explicit login/logoff is required or when you want to maintain an explicit
session, use the CreateSession, CloseSession and AdoptSession methods.
- Removed dependancy on log4net.
- The Service Manager library no longer implicitly logs it's activity (it uses a
NullLogger by default). If you need logging you can provide a logger in the
constructor of the NetSuiteServiceBase.
- Removed superfluous properties that wrapped standard Perference and
SearchPreference properties (e.g. IgnoreReadOnlyFields, SearchPageSize, etc.).
Instead, standard Preference and SearchPreference properties have been exposed.
- Other minor enhancemen
- RecordRef.ToString() now returns "<Internal ID> <name>"


Curly and Floppy Twistytail, the Funny Piggie Boys
by Howard R. Garis
Chapter 4: “How Curly Helped Mother”
Additional Information
- Year Published: 1918
- Language: English
- Country of Origin: United States of America
- Source: Garis, H. R. (1918). Curly and Floppy Twistytail, the Funny Piggie Boys. New York, NY: A. L. Burt Co.
-
Readability:
- Flesch–Kincaid Level: 5.0
- Word Count: 1,363
- Genre: Fantasy
- ✎ Cite This
Downloads
“Well, this is certainly a fine day for washing!” exclaimed Mrs. Twistytail, the pig lady, one morning as she got up from the nice, clean, straw bed where she had slept with little Pinky. “I must get right to work and hang out the sheets and pillow-cases so the sun will make them nice and white.”
So she hurried through with the breakfast of sour milk with corn meal and sugar cakes, and as soon as Mr. Twistytail had gone to the factory, where he helped make sausage for buckwheat cakes, Mrs. Twistytail said:
“Now, children, do you want to help me wash?”
“Oh, yes, mamma!” they all cried at once.
“I’ll turn the wringer,” said Curly, “for I am good and strong.”
“And I’ll put the clothespins in the basket and have them all ready,” said Pinky, for, though she was only a little girl pig she could easily carry the clothes pins.
“What can I do?” asked Flop, the other little pig boy. His real name was Floppy, or Flop Ear, but I call him Flop for short you see.
“Oh, you can bring me in the sticks to make the fire,” said his mamma, and soon the three piggie children were working away as fast as they could, helping their mamma, who was busy sorting out the clothes.
Soon the fire was made, and the sudsie-soapy water was boiling the clothes to sort of cook them nice and clean, and Pinky had the clothespins all ready. Flop had put up the line, after he had brought in the firewood, and Curly was all ready with the wringer.
Well, you should have seen Mrs. Twistytail rub-adub-dub the clothes up and down on the washboard. My! how she did scatter the suds all over, and once some splashed right up in her eye, but she only laughed and sang a funny little song.
 “Ready to wring out the clothes through the first water!”
So Curly turned the wringer, which doesn’t ring like a bell, you know, but squeezes all the water out of the clothes so they will dry better. Around and around Curly turned the wringer handle, and the clothes came out like corn out of the popper.
“Oh, what fun!” cried the little pig boy, and his brother and sister thought it was very jolly to help their mamma.
 “I have to get the rinsing and bluing waters ready.”
So Curly and Flop and Pinky ran out in the yard to play. Flop and Pinky saw a little boy and girl pig whom they knew, and they began playing, but Curly walked about, thinking maybe he might find a penny, when all of a sudden he saw his mamma hurrying out of the kitchen.
“Where are you going, mamma?” he called to her. “Is the washing all done? Can’t I wring any more clothes?”
“Oh, yes,” she answered. “There are plenty more to wring out even yet, but they must wait. Mrs. Littletail, who lives down the street, has just sent in to say that her little rabbit boy Sammie has the stomach ache and I am taking over some hot peppermint tea for him. The washing can wait until I get back.”
On ran Mrs. Twistytail to make Sammie Littletail feel better, and just then her own little boy Curly had a great idea.
“I’ll just slip in and finish the washing for mamma,” he said to himself, as he saw that Flop and Pinky were still playing tag. “Won’t she be s’prised when she comes in and sees the clothes all hung up to dry?”
So Curly hurried into the kitchen and there he saw a lot of water in a tub, and the pile of clothes in the basket ready to be rinsed and blued and hung out to dry. Then Curly began to help his mamma to make her surprised.
Into the tub he plumped the clothes, and then, fastening on the wringer, he began to wring them out as dry as he could. There were a lot of sheets and pillow-cases, and these last were like bags, full of wind and water when you put the open end in between the rubber rollers first. And then, when they came toward the closed end. My! how they would puff out and make a funny sissing noise.
Curly always liked to wring out the pillow-cases this way, and he had lots of fun. Soon he had a big basket of clothes ready to hang on the line. Wasn’t he the smart little piggie boy, though?
Out into the yard he carried the basket of clothes. It was hard work, but he managed it. And how the wind did blow! It was all Curly could do to hold the big sheets from blowing away, but somehow he did, and he didn’t want to call Flop or Pinky to help, for he wanted to surprise them, too, as well as his mamma.
Well, he had hung up quite a lot of clothes to dry, and then came a large pillow-case. The wind was blowing harder than ever, and as Curly tried to hang the case on the line a big, strong breeze just took hold of it, puffed it out like a balloon, and then—and then, my goodness me, sakes alive! the wind took the pillow-case right up in the air, and as Curly was hanging tightly to it, he went up also!
Right up into the air he went, sailing and sailing, just like an aeroplane, and he cried out:
“Mamma! Papa! Flop Ear! Pinky! Save me!” But none of them heard him, and he went higher and higher until the pillow-case, full of air like a balloon, caught in a tree, and there was the little piggie boy held where he couldn’t get down. Oh, dear me, wasn’t that terrible?
Curly didn’t know what to do. The tree was too big for him to jump down and he couldn’t climb very well. He thought he would have to stay up there forever, maybe. But he didn’t. Pretty soon Sammie Littletail’s stomach ache was all better and Mrs. Twistytail came home. The first things she saw were the clothes hanging out on the line—that is, all but the pillow-case that had taken Curly up in the tall tree.
“My goodness me! sakes alive and a corn cob,” exclaimed Mrs. Twistytail. “The children must have done this to help me. My, but I am surprised. But I wonder where they are?” Then she saw Flop and Pinky playing tag, but she couldn’t see Curly.
“Oh, Curly, Curly, where are you?” she called, and her little boy answered:
“I’m up in the tree with the pillow-case!” Then his mamma saw him and she nearly fainted. But she didn’t quite faint, and then she telephoned for a fireman with a long ladder, who came and got Curly safely down.
So that’s how he helped his mamma, and he surprised her more than he meant to, but it all came out right in the end.
So that’s all now, but in the next story, in case the oil can doesn’t slide down the clothes pole and break the handle off the pump, so the angle worm can’t get his ice cream cone, I’ll tell you about Curly and the elephant.