a38a14f46715b7b0411d89c2e86854cf074c05a2,tslearn/shapelets.py,ShapeletModel,_set_model_layers,#ShapeletModel#Any#Any#Any#,310

Before Change

            layer.set_weights([weights_false_conv])

    def _set_model_layers(self, ts_sz, d, n_classes):
        inputs = Input(shape=(ts_sz, d), name="input")
        shapelet_sizes = sorted(self.n_shapelets_per_size.keys())
        pool_layers = []
        for i, sz in enumerate(sorted(shapelet_sizes)):
            transformer_layer = Conv1D(filters=sz,

After Change

                                         kernel_size=sz,
                                         trainable=False,
                                         use_bias=False,
                                         name="false_conv_%d_%d" % (i, di))(inputs[di]) for di in range(d)]
            shapelet_layers = [LocalSquaredDistanceLayer(self.n_shapelets_per_size[sz],
                                                         name="shapelets_%d_%d" % (i, di))(transformer_layers[di])
                               for di in range(d)]

Instances