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We are running the most exciting hackathon targeted at high school students in the New England area, though open to all. It will be 48 hours of developing cool ideas, meeting other high school hackers, and learning the ins and outs of development.
If you ever had a great app idea, but never got a chance to implement it, hackNEHS is for you! At hackNEHS, you can create anything from scratch and implement your creative ideas. Regardless, come hack with us to create something awesome!
No prior experience is necessary to come to hackNEHS, so grab your friends, classmates, and fellow hackers! Coming to a hackathon is a great place for new coders to learn the basics. We will provide workshops for beginners to get hands-on experience with app development, web development, and idea generation from experience mentors. Just by registering, you'll gain exclusive access to APIs from our generous sponsors!
hackNEHS is a competition where teams work together to build amazing software using many tools, APIs, and products. At the end of the event, judges will provide feedback and prizes to the best hacks, which could include cool drones, VR headsets, 3D printers, and other hot technolgies. This year, we will be awarding more than $4000 worth of prizes!
| Saturday 4/3 | |
| 12:00 - 12:45 PM | Check-In and Team Formation |
| 1:00 PM | Opening Presentation |
| 1:15 - 2:00 PM | Keynote Presentation from Stephen Wolfram |
| 2:00 - 2:15 PM | Hacking Begins |
| 2:30 - 3:30 PM | Workshop #1 (1 beginner, 1 advanced) |
| 3:30 - 4:30 PM | Workshop #2 (1 beginner, 1 advanced) |
| 6:00 - 7:00 PM | Special Feature Workshop from echoAR |
| Sunday 4/4 | |
| 12:00 PM | Project Submission |
| 12:00 - 2:00 PM | Preliminary Judging |
| 2:00 - 3:00 PM | Student Speaker Panel |
| 3:00 - 4:00 PM | Finalist Presentation |
| 4:00 - 5:00 PM | Expert Speaker Panel and Finalist Judging |
| 5:00 PM | Hackathon Closing |
| All times listed in Eastern Standard Time |
Stephen Wolfram
Stephen Wolfram is the creator of Mathematica, Wolfram|Alpha and the Wolfram Language; the author of A New Kind of Science; the originator of the Wolfram Physics Project; and the founder and CEO of Wolfram Research.
Aptima Inc.
Expert Speaker
Facebook AI Research
Expert Speaker
Siri R&D, Apple
Expert Speaker
Stanford Healthcare
Expert Speaker
Stanford University
Student Speaker
Stanford University
Student Speaker
UPenn M&T
Student Speaker
Carnegie Mellon University
Student Speaker
MIT
Student Speaker
A hackathon is an event where like-minded computer enthusiasts meet to work together on computer programming. Teams collaborate to build and code something original from websites and apps to machines and robots. Hackathons foster an environment for self-expression through technology.
Most elements of our hackathon will remain the same online — through our online platform, you’ll be able to meet and collaborate with peer hackers, attend workshops, and listen to our guest speakers. Many of our events will occur using Zoom, so make sure you have Zoom installed and updated before the hackathon.
Workshops will be small, interactive classes teaching novices how to brainstorm innovative ideas and code their ideas. Experienced mentors will run these class sessions throughout the hackathon. They will give participants the basic tools necessary to build something cool in the hackathon. Workshops will be offered on various skills.
A team consists of a max of four people who collaborate on a project for the entire event. You can come with a team, or find one after registration! As soon as you register, you’ll have access to our online hackathon platform provided through HackerEarth. You can look at the profiles of other participants and reach out to find a team before the hackathon. If you need any assistance finding a team, we’ll also be happy to help you network!
You only need to bring your computer, a charger, a valid government-issued or school ID, and your signed liabilty form. Attendance is completely free, and food, drinks, power strips, and wi-fi will be provided!
One hack or project are to be submitted by each team to qualify for demos and prizes. Experienced judges will critique each submission based on functionability, creativity, and technical difficulty.
Whether you're an experienced hacker or you've never written a line of code before, you are welcome at hackNEHS. Going to a hackathon like hackNEHS is a fantastic way to learn coding through workshops and mentors.
Unfortunately, we aren’t able to provide supplies for hardware hacks, so to keep things fair, we will only allow participants to use hardware solely for input purposes (e.g. camera, infrared sensor, button, etc.). Other forms of hardware hacks will not be accepted (e.g. making a hardware-based tool, using motors, etc.).
It’s completely free! Thanks to our generous sponsors, you will be able to attend hackNEHS with no charge whatsoever.
We unfortunately cannot give out physical swags this year; however, we are working with several sponsors to provide some APIs and free subscriptions to participants!
hackNEHS is open to all high schoolers. If you’re in middle school, shoot us an email at our email below.
You should have no issue participating in our event as long as your Internet connection can handle standard video calls or livestreams. Just make sure to download any necessary SDKs or developer tools prior to the event!
Let us know at<EMAIL_ADDRESS>Co-Director
Co-Director
Co-Director
Logistics
Marketing/Outreach
Marketing
Outreach
Outreach
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1. Python¶
1.1. Basics¶
1.1.1. Lists¶
Methods:
append()
clear()
copy()
count()
extend()
index()
insert()
pop()
remove()
reverse()
sort()
demoList = ["apple", "banana", "orange", "kiwi"]
print(demoList)
['apple', 'banana', 'orange', 'kiwi']
Adding/Removing items
demoList.append('cherry')
print(demoList)
demoList.insert(1, 'grape')
print(demoList)
['apple', 'banana', 'orange', 'kiwi', 'cherry']
['apple', 'grape', 'banana', 'orange', 'kiwi', 'cherry']
join 2 lists
thislist = ["apple", "banana", "cherry"]
tropical = ["mango", "pineapple", "papaya"]
thislist.extend(tropical)
print(thislist)
['apple', 'banana', 'cherry', 'mango', 'pineapple', 'papaya']
or…
thislist = ["apple", "banana", "cherry"]
tropical = ["mango", "pineapple", "papaya"]
thislist + tropical
['apple', 'banana', 'cherry', 'mango', 'pineapple', 'papaya']
Removing items
demoList = ["apple", "banana", "orange", "kiwi"]
demoList.remove('apple')
print(demoList)
demoList.pop(1)
print(demoList)
del demoList[0]
print(demoList)
demoList.clear() # removes all items
print(demoList)
['banana', 'orange', 'kiwi']
['banana', 'kiwi']
['kiwi']
[]
1.1.2. Copying a list¶
make sure the lists aren’t linked, with a deep copy
thislist = ["apple", "banana", "cherry"]
mylist = thislist.copy()
print(mylist)
del thislist[1]
print(thislist)
print(mylist)
['apple', 'banana', 'cherry']
['apple', 'cherry']
['apple', 'banana', 'cherry']
1.1.4. Sets¶
unordered and unindexed, adding/removing is possible but not changing
thisset = {"apple", "banana", "cherry"}
thisset.add("orange")
print(thisset)
{'apple', 'banana', 'orange', 'cherry'}
1.1.5. Dictionaries¶
fruitDict = {
"type" : "apple",
"colour" : ["red", "green"],
"weight" : 200
}
print(fruitDict)
print(fruitDict["type"])
{'type': 'apple', 'colour': ['red', 'green'], 'weight': 200}
apple
fruitDict.get("weight")
200
fruitDict.keys()
dict_keys(['type', 'colour', 'weight'])
fruitDict.values()
dict_values(['apple', ['red', 'green'], 200])
fruitDict.items()
dict_items([('type', 'apple'), ('colour', ['red', 'green']), ('weight', 200)])
Changing, adding, and removing items in a dictionary
fruitDict = {
"type" : "apple",
"colour" : ["red", "green"],
"weight" : 200
}
fruitDict["weight"] = 500
print(fruitDict)
fruitDict.update({"smell" : "appley"})
print(fruitDict)
fruitDict["season"] = "summer"
print(fruitDict["season"])
del fruitDict["colour"]
print(fruitDict)
{'type': 'apple', 'colour': ['red', 'green'], 'weight': 500}
{'type': 'apple', 'colour': ['red', 'green'], 'weight': 500, 'smell': 'appley'}
summer
{'type': 'apple', 'weight': 500, 'smell': 'appley', 'season': 'summer'}
1.1.6. Loops¶
for i in range(0,5):
print(i)
0
1
2
3
4
x = 0
while x < 6:
print(x)
x = x + 1
0
1
2
3
4
5
breaks within loops
x = 0
while x < 6:
print(x)
if x == 4:
break
x = x + 1
0
1
2
3
4
continue jumps back to the start of the loop
x = 0
while x < 6:
x += 1
if x == 4:
continue
print(x)
1
2
3
5
6
i = 1
while i < 6:
print(i)
i += 1
else:
print("i is no longer less than 6")
1
2
3
4
5
i is no longer less than 6
1.1.7. Conditions (If..Else)¶
a = 2
b = 20
if a > b:
print("a is larger")
elif a == b:
print("they are equal")
else:
print("b is larger")
b is larger
a = 200
b = 33
c = 500
if a > b or a > c:
print("At least one of the conditions is True")
At least one of the conditions is True
use pass
to avoid an error.
if 1 > 10:
pass
1.1.8. List Comprehension¶
newList = ["apple", "banana", "cherry"]
[x for x in newList]
[x for x in newList if x != 'apple']
['banana', 'cherry']
[x for x in newList if x != 'apple']
['banana', 'cherry']
[x.upper() for x in newList]
['APPLE', 'BANANA', 'CHERRY']
1.1.9. Functions and lambda¶
lambda can have only one expression
def printHello():
print("Hello")
printHello()
Hello
addTen = lambda x : x + 10
addTen(2)
12
x = lambda a, b : a * b
print(x(5, 6))
30
1.2. Classes/Objects¶
Classes are like blueprints for creating objects.
Instances are what is built using the class.
The __init__()
function is found in all classes. It is used to assign values to object properties, or other operations when the object is being created.
self
is used to reference the current instance of the class, and is used to access variables that belong to the class. it doesn’t need to be named self
Classes can contain methods (in object functions)
class car:
def __init__(self, make, topspeed):
self.make = make
self.topspeed = topspeed
blueCar = car("Ford", "150")
print(blueCar.make)
print(blueCar.topspeed)
Ford
150
add a method to the class
class animal:
def __init__(self, name, weight, habitat):
self.name = name
self.weight = weight
self.habitat = habitat
def sayHello(self):
print("Hello I am a " + self.name)
tiger = animal("tiger", 200, "forest")
tiger.sayHello()
Hello I am a tiger
modifying object parameters is similar to normal python sytax
tiger.weight = 220
print(tiger.weight)
del tiger.habitat
print(tiger.__dict__) # quick investigation
220
{'name': 'tiger', 'weight': 220}
1.2.1. Inheritance¶
Inheritance allows us to define a class that inherits methods and properties from another class.
parent and child classes will be used.
# Parent class
class animal:
def __init__(self, name, weight, habitat):
self.name = name
self.weight = weight
self.habitat = habitat
def sayHello(self):
print("Hello I am a " + self.name)
# Child class
class fish(animal):
pass # used for empty classes
shark = fish("Great White", "1000", "tropical ocean")
print(shark.name)
Great White
if we were to add the __init__()
function, the child overrides that of the parents class.
To keep it, add a call to the parents __init__()
directly or use super()
class animal:
def __init__(self, name, weight, habitat):
self.name = name
self.weight = weight
self.habitat = habitat
# explicitly calling
class bird(animal):
def __init__(self, name, weight, habitat):
animal.__init__(self, name, weight, habitat)
# using super()
class mammal(animal):
def __init__(self, name, weight, habitat):
super().__init__(name, weight, habitat)
eagle = bird("Golden", 2, "mountains")
print(eagle.__dict__)
bear = mammal("Grizzly", 500, "forest")
print(bear.__dict__)
{'name': 'Golden', 'weight': 2, 'habitat': 'mountains'}
{'name': 'Grizzly', 'weight': 500, 'habitat': 'forest'}
properties can also be added at the inheritance stage
class animal:
def __init__(self, name, weight, habitat):
self.name = name
self.weight = weight
self.habitat = habitat
class insect(animal):
def __init__(self, name, weight, habitat, colonySize):
super().__init__(name, weight, habitat)
self.colonySize = colonySize
self.exoskeleton = True # you can also add properties that aren't assigned
def printColonySize(self):
print("The ", self.name, " has a colony size of ", self.colonySize)
ant = insect("fire ant", 0.001, "tropical forest", 100000)
ant.printColonySize()
ant.__dict__
The fire ant has a colony size of 100000
{'name': 'fire ant',
'weight': 0.001,
'habitat': 'tropical forest',
'colonySize': 100000,
'exoskeleton': True}
1.2.2. Iterators¶
Is an object that can be iterated upon.
Specifically consitsting of the metods __iter__()
and __next__()
__iter__()
- returns the iterator object
__next__()
- returns the next item in the sequence
class numbers:
def __iter__(self):
self.a = 1
return self
def __next__(self):
x = self.a
self.a += 1
return x
myclass = numbers()
myiter = iter(myclass)
print(next(myiter))
print(next(myiter))
print(next(myiter))
1
2
3
to stop the iteration use StopIteration
class numbers:
def __iter__(self):
self.a = 1
return self
def __next__(self):
if self.a <= 10:
x = self.a
self.a += 1
return x
else:
raise StopIteration
myclass = numbers()
myiter = iter(myclass)
for x in myiter:
print(x)
1
2
3
4
5
6
7
8
9
10
1.3. Class Concepts¶
classes have a number of key concepts
inheritance - creating a new class from a parent
encapsulation - being unable to effect the core data, unless a function specifices this
Polymorphism - to use a common interface for multiple forms
1.3.1. Inheritance¶
# Parent class
class animal:
def __init__(self, species, habitat, size):
self.species = species
self.habitat = habitat
self.size = size
def __str__(self):
return "I am a " + self.species
def sayHelloSpecies(self):
print("hello I am a " + self.species)
# child class
class fish(animal):
def __init__(self, species, habitat, size):
super().__init__(species, habitat, size)
def fishSpeak(self):
print("bubble bubble bubble")
skate = fish("skate", "north sea", 4)
skate.sayHelloSpecies()
skate.fishSpeak()
print(skate)
hello I am a skate
bubble bubble bubble
I am a skate
1.3.2. Encapsulation¶
note how the __maxprice
cannot be changed without the use of the specificed function.
class Computer:
def __init__(self):
self.__maxprice = 900
def sell(self):
print("selling at price {}".format(self.__maxprice))
def setMaxPrice(self, price):
self.__maxprice = price
c = Computer()
c.sell()
# change the price - doesn't work! good
c.__maxprice = 9
c.sell()
# using setter function - works
c.setMaxPrice(1000)
c.sell()
selling at price 900
selling at price 900
selling at price 1000
1.3.3. Polymorphism¶
We can have multiple common classes, that can be used by other functions/class/etc.
the flying_test()
function uses the fly()
method in both the parrot and emu classes.
# parent
class animal:
def __init__(self, species, habitat, size):
self.species = species
self.habitat = habitat
self.size = size
class parrot(animal):
def __init__(self, species, habitat, size):
super().__init__(species, habitat, size)
def fly(self):
print("can fly")
class emu(animal):
def __init__(self, species, habitat, size):
super().__init__(species, habitat, size)
def fly(self):
print("cannot fly")
# define a common test
def flying_test(birdSpecies):
birdSpecies.fly()
# create object and run tests
polly = parrot("parrot", "tropics", 1)
paul = emu("emu", "tropics", 67)
flying_test(polly)
flying_test(paul)
can fly
cannot fly
1.4. Modules¶
Code library or a local .py
file
import numpy as np
np.array([1, 2, 3])
array([1, 2, 3])
from pandas import DataFrame as df
df([1,2,3])
| 0 | |
|---|---|
| 0 | 1 |
| 1 | 2 |
| 2 | 3 |
1.5. RegEx¶
import re
re.
methods:
findall
- Returns a list containing all matchessearch
- Returns a Match object if there is a match anywhere in the string.span()
- returns a tuple containing the start and end positions of the match..string
- returns the string passed into the function.group()
- returns the part of the string where there was a match
split
- Returns a list where the string has been split at each matchsub
- Replaces one or many matches with a string
from w3
1.6. File Handling¶
open(filename, mode)
Mode types:
"r"
- read
"a"
- append
"w"
- write
"x"
- create
open, readlines,and close
f = open("demofile.txt", "r")
print(f.readline())
f.close()
https://www.w3schools.com/python/numpy_intro.asp


PluginParameter QML Type
The PluginParameter type describes a parameter to a Plugin. More...
| Import Statement: | import QtLocation 5.3 |
| Since: | Qt Location 5.5 |
Properties
Detailed Description
The PluginParameter object is used to provide a parameter of some kind to a Plugin. Typically these parameters contain details like an application token for access to a service, or a proxy server to use for network access.
To set such a parameter, declare a PluginParameter inside a Plugin object, and give it name and value properties. A list of valid parameter names for each plugin is available from the plugin reference pages.
Example Usage
The following example shows an instantiation of the HERE plugin with a mapping API app_id and token pair specific to the application.
Plugin { name: "here" PluginParameter { name: "here.app_id"; value: "EXAMPLE_API_ID" } PluginParameter { name: "here.token"; value: "EXAMPLE_TOKEN_123" } }
Property Documentation
This property holds the value of the plugin parameter which support different types of values (variant).


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The following pictures are taken from various editions of Frank Key's morally uplifting Hooting Yard Calendar:
A woman with a badger
An unfortunate custard incident
A (possible) crowned head in peril
A noted music hall turn
A Jesuit priest
A very, very long bandage
A life-size effigy
The legendary (and charming) Captain Snap
A prison riot
Another Jesuit priest
A wild and wintry scene
Now hurry back to:
Hooting Yard Home Page


Pinellas County deputies warn public of Duke Energy scam
by WFTS Digital StaffPINELLAS COUNTY, Fla. --- Pinellas County deputies are warning the public of a Duke Energy scam.
Officials said residents are receiving a call from someone claiming to be an employee of Duke Energy.
PINELLAS NEWS | The latest headlines from Pinellas County
The scammers have programmed their call to read as Duke Energy on the victim's caller ID.
The caller informs the resident that they are past due on their electric bill and need to pay immediately.
Detectives said the caller will then instruct residents to go and purchase a gift card or re-loadable debit card from a retail store. The caller provides a call back number and explains how the victim needs to call back and provide card numbers to satisfy past due payments.
So far, five Pinellas County residents have been targeted by the scam since Veteran's Day.
They said as a reminder, most scam phone callers will ask for the resident to obtain gift cards to call back with.
If anyone has been a victim of the scam, or a similar one, you are asked to call the Pinellas County Sheriff's Office.


Important lesson to learn from Lord Krishna
Important lesson to learn from Lord Krishna
Important lesson to learn from Lord Krishna:
- Take actions which are beneficial to yourself and the society, you can call it as your dharma. For a doctor his dharma should be to save the patient.
- Do not worry about the benefits you can get by taking an action if it fulfills your dharma


My name is Serxhio Gugo and I’m an iOS Engineer based in Connecticut, previously NYC. I’m a highly motivated engineer with 4+ years of experience programming in Swift. I am fascinated by how mobile devices and applications influence our daily lives. I have always had a passion for iOS Development or technology in general. I have a good eye for design, seeking to combine innovation and technology to build quality products.
Built Registration/Login using multiple RESTful API’s while implementing Email/Password/Address/Phone Number validation.
Developed Account Menu with 16+ journeys and used Deep linking to redirect the app to different journeys from our website. Integrated Caesars Rewards into the app.
Created completely re-usable UI for SportsBook betting and more.
Organized the app to account for multi-state while using GeoComply and CoreLocations to identify user location.
Properly mocked and Unit Tested all features created by me which lowered our bug results by 21%.
Working closely with the back-end team to design and develop Gesture - Happiness Delivered.
Developing Event Planning feature using Firebase Cloud Messaging and Cloud Functions.
Developing Phone number Authentication feature using Firebase and TeleSign.
Participating in meetings, deliverables and planning in a fast-paced environment using Agile Methodologies.
Worked closely with the back-end team to design and develop Lollipop Dating App. Link: Lollipop ~ https://apple.co/2KYDXri
Develop the chat functionality of the app.
Implemented camera functionality using AVFoundation.
Refactored of the base code from Objective-C to the latest Swift syntax.
Graduated from a highly competitive software engineering program whose graduates have been hired at leading companies
Completed an intensive 4-month project-based iOS Development curriculum designed by engineers from Facebook, Microsoft, Spotify, and Google. Topics included: Swift, iOS SDK, REST API’s, Persistence, Git, tech principles, culture.
GPA: 3.8
GPA: 3.9
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Apart from doing iOS Development, I enjoy my free time reading self-improvement books and studies on Stoicism. I follow a few of comedy, sci-fi and fantasy genre movies and shows. I'm interested in Real Estate and currently following many Webinars and Courses to learn more about it.


Shared templating library¶
Pyconstruct provides a shared Jinja2 templating API with a number of utilities for building domains.
To use the available macros, simply import them from the available libraries, e.g.:
{% from 'globals.pmzn' import domain, solve %}
{% from 'linear.pmzn' import linear_model %}
{% from 'metrics.pmzn' import hamming %}
globals.pmzn¶
Collection of template macros to be used to define domains for structured classification. Implements standard procedures for handling different inference problems.
PROBLEMS¶
- phi
- Gets x and y as data, returns a feature vector phi(x, y).
- n_features
- Returns the number of features defined in the domain.
- map
- Gets x as data, computes the argmax of the score w.r.t. the given model.
- loss_augmented_map
- Gets x as data, computes the argmax of the score + loss.
CONSTANTS¶
BOOL_SET
An integer set of boolean values {0, 1}.
INT_SET
A standard set of integers.
FLOAT_SET
A standard set of floats.
MACROS¶
domain(
problem, allowed=('phi', 'map', 'loss_augmented_map')
)
Boilerplate for domain definition.
PARAMETERS
----------
problem : str in ['phi', 'n_features', 'map', 'loss_augmented_map']
The problem to solve. This parameter is usually passed by the Python
domain class.
allowed : tuple
Allowed problems for this domain.
USAGE
-----
{% call domain(problem) %}
% Your domain definition, e.g.
% int: x;
% var 0 .. 10: y;
% constraint x + y <= 10;
{% endcall %}
solve(
problem, score='score', loss='loss'
)
Boilerplate for problem dependent solve statement.
PARAMETERS
----------
problem : str in ['phi', 'n_features', 'map', 'loss_augmented_map']
The problem to solve. This parameter is usually passed by the Python
domain class.
score : str
The score function. Default to variable name 'score'.
loss : str
Formula for the loss. Used in loss_augmented_map problems.
USAGE
-----
{% set loss = 'some loss' %}
{{ solve(problem, loss=loss) }}
linear.pmzn¶
MACROS¶
feature_set(
params=none, n_features_var='N_FEATURES', feature_set_var='FEATURES'
)
Boilerplate for feature number definition.
PARAMETERS
----------
params : dict
Parameters of the model.
n_feature_var : str
The variable name of the feature array length. Default is 'N_FEATURES'.
feature_set_var : str
The variable name of the feature index set: Default is 'FEATURES'.
USAGE
-----
Only fixed domain features:
{% call feature_set() %}
N_FEATURE_SET_1 + N_FEATURE_SET_2 + 5
{% endcall %}
Only model-dependent features:
{{ call feature_set(params) }}
Combination of both:
{% call feature_set(params) %}
N_FEATURE_SET_1 + N_FEATURE_SET_2 + 5
{% endcall %}
features(
params=none, feature_var='phi', feature_set_var='FEATURES',
feature_type=none
)
Boilerplate for features definition.
PARAMETERS
----------
params : dict
Parameters of the model.
feature_var : str
The variable name of the feature array. Default is 'phi'.
feature_set_var : str
The variable name of the feature index set: Default is 'FEATURES'.
feature_type : str
The type of the features. Default is FLOAT_SET.
USAGE
-----
Only fixed domain features:
{% call features() %}
% Your features definition, e.g.
% [ feature1, feature2 ] ++ [ feature3 ]
{% endcall %}
Only model-dependent features:
{{ call features(params) }}
Combination of both:
{% call features(params) %}
% Your features definition, e.g.
% [ feature1, feature2 ] ++ [ feature3 ]
{% endcall %}
linear_model(
problem, params=none, n_features=none, n_features_var='N_FEATURES',
feature_var='phi', feature_set_var='FEATURES', feature_type=none,
discretize=False, factor=100, score_var='score',
allowed=('phi', 'map', 'loss_augmented_map')
)
Boilerplate for defining a linear model.
PARAMETERS
----------
problem : str in ['phi', 'n_features', 'map', 'loss_augmented_map']
The problem to solve. This parameter is usually passed by the Python
domain class.
params : dict
Parameters of the model.
n_features : str
The number of feautures (or a fomula to compute it).
n_feature_var : str
The variable name of the feature array length. Default is 'N_FEATURES'.
feature_var : str
The variable name of the feature array. Default is 'phi'.
feature_set_var : str
The variable name of the feature index set: Default is 'FEATURES'.
feature_type : str
The type of the features. Default is FLOAT_SET.
discretize : bool
Wheter to discretize the weight vector and the scoring function. Use only
if feature_type and loss_type are int. Default 'False'.
factor : int
The pre-multiplicative factor before discretization.
score_var : str
The variable name of the score to be used for inference (dot product
between weights and features). Default 'score'.
allowed : tuple
Allowed problems for this model.
USAGE
-----
{% call linear_model(problem, params, n_features='20') %}
% Your features definition, e.g.
% [ feature1, feature2 ] ++ [ feature3 ]
{% endcall %}
metrics.pmzn¶
MACROS¶
hamming(
sequence_set='SEQUENCE', sequence='sequence', true_sequence='true_sequence'
)
Formula for the hamming loss between two sequences.
PARAMETERS
----------
sequence_set : str
The set to iterate over.
sequence : str
The name of predicted sequence.
true_sequence : str
The name of the true sequence.
chain.pmzn¶
MACROS¶
n_emission_features(
n_attributes='N_ATTRIBUTES', n_labels='N_LABELS'
)
Prints the number of emission feautures.
PARAMETERS
----------
n_attributes : str
The value or variable name containing the number of input attributes.
n_labels : str
The value or variable name containing the number of output labels.
emission_features(
attributes_var='attributes', sequence_var='sequence',
attributes_set='ATTRIBUTES', sequence_set='SEQUENCE', labels_set='LABELS'
)
Prints the emission feautures.
PARAMETERS
----------
attributes_var : str
The variable name of the attribute matrix. Default 'attributes'.
sequence_var : str
The variable name of the sequence array. Default 'sequence'.
attributes_set : str
The value or variable name containing the indexset of input attributes.
sequence_set : str
The value or variable name containing the indexset of output labels.
labels_set : str
The value or variable name containing the set of label symbols.
n_transition_features(n_labels='N_LABELS')
Prints the number of transition feautures.
PARAMETERS
----------
n_labels : str
The value or variable name containing the number of output labels.
transition_features(
sequence_var='sequence', sequence_set='SEQUENCE', labels_set='LABELS'
)
Prints the transition feautures.
PARAMETERS
----------
sequence_var : str
The variable name of the sequence array. Default 'sequence'.
sequence_set : str
The value or variable name containing the indexset of output labels.
labels_set : str
The value or variable name containing the set of label symbols.


'He will be off' - Rangers fans divided on latest striker update amid Aston Villa interest
Aston Villa transfer latest | Villa continued to be linked with Rangers striker Alfredo Morelos, who is in stunning goal-scoring form for the Ibrox club after a League Cup double at the weekend
by Josh MurrayRangers fans are having their say on the future of in-form striker Alfredo Morelos, as speculation continues to link him with Aston Villa.
The Colombian took his eye-catching tally for 2019-20 up to 20 goals from 24 matches on Saturday, netting twice in a 5-2 Scottish League Cup win over Hearts.
Gers boss Steven Gerrard responded to talk of a potential move away from Ibrox for Morelos on BT Sport recently, saying: "I'm not confident, I'm sure. I'm 100 per cent sure he's not going anywhere."
Former Rangers and Wolverhampton Wanderers midfielder Alex Rae took to Twitter after Gerrard's comments to celebrate the hopes of Morelos staying in the Scottish Premiership, amid the Villa rumours.
Aston Villa latest
This is your round up of all things Villa; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Villains throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- John McGinn's brilliant Liverpool verdict
- James Milner makes Aston Villa transfer admission
- Fans split on Villa transfer target
- Referee confirmed for Wolves v Villa - and fans won't like it
For all your latest AVFC news, opinion, analysis and transfer gossip, click here
You can follow our Villa reporter Ashley Preece on Twitter, and his email address is<EMAIL_ADDRESS>"Beaming Rangers boss Steven Gerrard has delivered an emphatic transfer message and insists star man Alfredo Morelos is going nowhere in January. That will be that then."
Rangers fans have since taken to social media to give their thoughts on Morelos' future.
Here's a selection of what they have been saying...
John-o'neill: All Rangers fans know he's gonna get sold but hopefully not in January still better things to come
Craig Braid: He’ll be away in the summer he’s going nowhere this season
James Moore: Music to many ears the boy is on course for 40 this season
@andyb29: Money talks tho Alex....... hope not!
@Testerofwells: It won’t be that, if someone comes in and sends us the valuation he’s gone
Lawrelos: £20m bid, he will be off!
MartyFunkhouser: Shows his naivety (and yours). If a club comes in and Morelos wants to go then it will not be so simple.


BACK ON TRACK
Cyprus 1 Scotland 2: John McGinn and Ryan Christie secure Euro qualifying win
by Robert GrieveSCOTLAND nicked the win in Nicosia.
Aston Villa's John McGinn netted his fifth goal in five games as Steve Clarke’s side stunned Cyprus.
Ryan Christie fired an early opener before George Efram made it 1-1 at the start of the second half.
But McGinn won the points with a volley.
Scotland should have been behind after only six minutes and had there been VAR or goal-line technology to assist the officials then Clarke’s team would have been.
Efrem smashed a shot from the edge of the penalty box which hit the underside of the crossbar and bounced down and in.
But thankfully for Scotland the Austrian referee, Harald Lechner, and his assistant, Max Kolbitsch, both failed to spot what had happened.
Had Scotland gone behind at that point, it may have been a set-back they couldn’t have recovered from given the confidence-sapped fragility of this squad.
But the let-off proved to be a wake-up call with Clarke’s men storming into the lead with only 11 minutes on the scoreboard clock.
Christie - playing off the right - burst inside after good work by McGinn to create an opening. He then smashed high into the net.
Going ahead settled Scotland immediately.
Cyprus lived dangerously at the back time and again and there looked a real possibility there would be more goals in the game.
Liam Palmer had a crack from distance which didn’t miss by much, McKenna also powering a downward header from a corner which had to be cleared.
Clarke would definitely have been optimistic about things going into the second half.
But just two minutes after the restart Cyprus scored from a free-kick given away by McKenna.
The Aberdeen centre back initially did well to read the play and step in to make an interception. But his touch saw the ball get away from him and he then stretched into a challenge he was never going to win.
The ref booked him for his trouble.
From the dead-ball situation Cyprus crossed into the box with Declan Gallagher heading clear, but the ball only went as far as Efrem who sent a stunning volley past David Marshall.
It was a poor goal to give away, first the free-kick conceded needless and the defending at the set-piece nowhere near good enough. Albeit, the strike itself was something special.
Scotland suddenly had to regroup and go again - and they did just that to take the lead again within just five minutes.
Greg Taylor combined with James Forrest down the left with the Celtic defender whipping in a cross which looked like it was aimed for Naismith.
But he stepped over it with McGinn latching onto it, with the Aston Villa star cushioning the ball into the bottom corner of the net.
It was another excellent move from Scotland finished off brilliantly.
Taylor was then involved in an altercation with Cyprus midfielder Jason Demetriou which resulted in both players being booked.
But Taylor’s only crime was kicking the ball away - while Demetriou booted him with a kick which could easily have seen him shown a straight red card.
Scotland were then dealt a blow on the hour mark with Naismith falling and twisting awkwardly as he tried to turn for a pass on the halfway line.
At first it didn’t look good at all for a player with a history of knee problems. After gingerly getting back up onto his feet Clarke shouted from the sidelines for him to sit back down again as he quickly made a change.
But while his pride came before a fall here Scotland’s didn’t.


Thank You for completing the test, Here are Your results
Your Personality type is ISFP
The personality test is based on Myers-Briggs Type Indicator (MBTI)
ISFPs are gentle caretakers who live in the present moment and enjoy their surroundings with cheerful, low-key enthusiasm. They are flexible and spontaneous, and like to go with the flow to enjoy what life has to offer. ISFPs are quiet and unassuming, and may be hard to get to know. However, to those who know them well, the ISFP is warm and friendly, eager to share in life's many experiences.
ISFPs have a strong aesthetic sense and seek out beauty in their surroundings. They are attuned to sensory experience, and often have a natural talent for the arts. ISFPs especially excel at manipulating objects, and may wield creative tools like paintbrushes and sculptor's knives with great mastery.


All functions |
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Missing Term |
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Coerce to a Term Vector |
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Combine Term Vectors |
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Complete Terms |
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Consistent Terms |
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Dimensions of an Object |
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Is Incomplete Terms |
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Is Inconsistent Terms |
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Is Term |
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Number of Dimensions of an Object |
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Number of Parameters |
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Number of Parameter Dimensions |
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Number of Terms |
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Parameter Descriptions for term Functions |
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Parameter Names |
Parameter Dimensions |
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Repair Terms |
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Subset Term Vector |
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Term Index |
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Extract Unique Terms |
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Valid Terms |
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Validate Term |