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class AttentionWithContext(Layer): | |
""" | |
Attention operation, with a context/query vector, for temporal data. | |
Supports Masking. | |
Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf] | |
"Hierarchical Attention Networks for Document Classification" | |
by using a context vector to assist the attention | |
# Input shape | |
3D tensor with shape: `(samples, steps, features)`. | |
# Output shape |
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def dot_product(x, kernel): | |
""" | |
Wrapper for dot product operation, in order to be compatible with both | |
Theano and Tensorflow | |
Args: | |
x (): input | |
kernel (): weights | |
Returns: | |
""" | |
if K.backend() == 'tensorflow': |
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from keras import backend as K, initializers, regularizers, constraints | |
from keras.engine.topology import Layer | |
def dot_product(x, kernel): | |
""" | |
Wrapper for dot product operation, in order to be compatible with both | |
Theano and Tensorflow | |
Args: |
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#! /usr/bin/env python | |
# | |
# Mixpanel, Inc. -- http://mixpanel.com/ | |
# | |
# Python API client library to consume mixpanel.com analytics data. | |
import hashlib | |
import time | |
import urllib #for url encoding | |
import urllib2 #for sending requests |
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#! /usr/bin/env python | |
# | |
# Mixpanel, Inc. -- http://mixpanel.com/ | |
# | |
# Python API client library to consume mixpanel.com analytics data. | |
import hashlib | |
import urllib | |
import time | |
try: |
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# extending the Mixpanel API class for large data to avoid maxing out ram and slowing request to point of failure | |
def request_highvolume(self, methods, params): | |
""" | |
methods - List of methods to be joined, e.g. ['events', 'properties', 'values'] | |
will give us http://mixpanel.com/api/2.0/events/properties/values/ | |
params - Extra parameters associated with method | |
""" | |
params['api_key'] = self.api_key | |
params['expire'] = int(time.time()) + 600 # Grant this request 10 minutes. |
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#import "TSTapstream.h" | |
#define MIXPANEL_TOKEN @"YOUR_MIXPANEL_TOKEN" | |
// ... | |
- (BOOL)application:(UIApplication *)application didFinishLaunchingWithOptions:(NSDictionary *)launchOptions | |
{ | |
[Mixpanel sharedInstanceWithToken:MIXPANEL_TOKEN]; | |
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<form action="music.html" id="signup_form" name="signup_form"> | |
<ul> | |
<li>Name: <input type="text" id="name"></input></li> | |
<li>Email address: <input type="text" id="email_input"></input></li> | |
<li>Favorite Music: <select id="selection_input"><option value="Classical">Classical</option> | |
<option value="Folk">Folk</option></select></li> | |
</ul> | |
<input type="submit" id="mySubmit" action="music.html"> | |
</form> | |
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<script type="text/javascript"> | |
// mixpanel stub and initialization | |
(function(e,b){if(!b.__SV){var a,f,i,g;window.mixpanel=b;b._i=[];b.init=function(a,e,d){function f(b,h){var a=h.split(".");2==a.length&&(b=b[a[0]],h=a[1]);b[h]=function(){b.push([h].concat(Array.prototype.slice.call(arguments,0)))}}var c=b;"undefined"!==typeof d?c=b[d]=[]:d="mixpanel";c.people=c.people||[];c.toString=function(b){var a="mixpanel";"mixpanel"!==d&&(a+="."+d);b||(a+=" (stub)");return a};c.people.toString=function(){return c.toString(1)+".people (stub)"};i="disable track track_pageview track_links track_forms register register_once alias unregister identify name_tag set_config people.set people.set_once people.increment people.append people.track_charge people.clear_charges people.delete_user".split(" "); | |
for(g=0;g<i.length;g++)f(c,i[g]);b._i.push([a,e,d])};b.__SV=1.2;a=e.createElement("script");a.type="text/javascript";a.async=!0;a.src=("https:"===e.location.protocol?"https:":"http:")+'//cdn.mxpnl.com/libs/mixpanel-2.2.min.js';f= |