model.py 文件源码

def show_training(self, div_id, div_costs_curve, cost_values) :
        #div_id = self.show(*args, **kwargs)

        def change_frame(w) :
            #print(w)
            updates = self.get_frame(w-1)
            script = ''
            for i in range(len(updates[0])) :
                jupdate      = json.dumps(updates[0][i], cls=utils.PlotlyJSONEncoder)
                jupdate_cost = json.dumps(dict(x = [[w]], y = [[cost_values[w-1]]]), cls=utils.PlotlyJSONEncoder)
                script = script \
                    + 'Plotly.restyle("{id}", {update}, [{index}]);'.format(
                    id=div_id,
                    update=jupdate, index = updates[1][i]) \
                    + 'Plotly.restyle("{id}", {update}, [{index}]);'.format(
                    id=div_costs_curve,
                    update=jupdate_cost, index = 1)
            update_str = (
                '<script type="text/javascript">' +
                'window.PLOTLYENV=window.PLOTLYENV || {{}};' +
                'window.PLOTLYENV.BASE_URL="' + 'https://plot.ly' + '";' +
                '{script}' +
                '</script>').format(script=script)
            #print(script)
            display(HTML(update_str))
        #print(self.frames)
        maxframe = len(self.frames) - 1
        play = Play(value=maxframe)
        slider = IntSlider(min=1, max=maxframe, step=1, value=maxframe,continuous_update=False)
        slider.layout.width = '100%'
        #jslink((play, 'value'), (slider, 'value'))
        traitlets.link((play, 'value'), (slider, 'value'))
        hb = HBox([play, slider])
        slider.observe((lambda iteration : change_frame(iteration['new'])), names='value')
        change_frame(maxframe)
        #play.observe((lambda iteration : print(iteration['new'])), names='value')
        #display(hb)
        return hb