Mikhail Ekaterinichev MIKEk8

## gist:279ecc53a07a7fb17f9eeebe4e86fc1e
from scipy.stats import chi2

def chi2_test_for_dice(observations):
    # Рассчет количества граней и общего числа бросков
    num_faces = len(observations)
    total_throws = sum(observations)

    # Ожидаемые частоты (равномерное распределение)
    expected_frequencies = [total_throws/num_faces] * num_faces

## jQuery_events.js
function getJQueryEvents(selector){
    var elements = $(selector);
    for(var key=0; key<elements.length; key++){
        var eventsOn = jQuery.cache[ elements[key][ jQuery.expando ] ].events;
        for(var i in eventsOn ) {
            var events = eventsOn[i];
            console.log("Event:"+i+"{");
            for(var j=0; j<events.length; j++) {
                console.log("   " + j + ":" + events[j].handler.toString());
            }

## Keras_usage_example.ipynb

      
        
          
            
              
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                MIKEk8
                / Keras_usage_example.ipynb
            
            
              Created
              August 15, 2017 13:37
                — forked from madrugado/Keras_usage_example.ipynb
            
              
                Keras usage example, simple text classification
              
          
        
      
        
  
    
    

          
    
      
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	from scipy.stats import chi2

	def chi2_test_for_dice(observations):
	# Рассчет количества граней и общего числа бросков
	num_faces = len(observations)
	total_throws = sum(observations)

	# Ожидаемые частоты (равномерное распределение)
	expected_frequencies = [total_throws/num_faces] * num_faces
	function getJQueryEvents(selector){
	var elements = $(selector);
	for(var key=0; key<elements.length; key++){
	var eventsOn = jQuery.cache[ elements[key][ jQuery.expando ] ].events;
	for(var i in eventsOn ) {
	var events = eventsOn[i];
	console.log("Event:"+i+"{");
	for(var j=0; j<events.length; j++) {
	console.log(" " + j + ":" + events[j].handler.toString());
	}