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"problem with input_shape keras model in Convolution Neural Network"

a_lotti1a_lotti1 Member Posts: 7 Contributor I
edited May 2019 in Help
Hi everyone,
I have a csv dataset composed of 301 attributes and I would like to pass in my keras model 5 rows at a time and then create a 2d convolution level and 2d MaxPooling.
As input_shape I inserted (301,5,1) -> "width, height, depth" following an online example.
As soon as the process is launched, RapidMiner stops responding and displays the following error screen.
Now the number of convolution level filters is 301, but it is only one case that is equal to the number of width.
Could you help me solve the problem?
Thanks a lot.


<?xml version="1.0" encoding="UTF-8"?><process version="9.1.000">
<context>
    <input/>
    <output/>
    <macros/>
  </context>
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    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="9.1.000" expanded="true" height="68" name="Retrieve Admire3_Shift24_Step12" width="90" x="112" y="340">
        <parameter key="repository_entry" value="Admire3 Shifter/Admire3_Shift24_Step12"/>
      </operator>
      <operator activated="true" class="rename" compatibility="9.1.000" expanded="true" height="82" name="Rename (6)" width="90" x="246" y="340">
        <parameter key="old_name" value="att302"/>
        <parameter key="new_name" value="KP"/>
        <list key="rename_additional_attributes"/>
      </operator>
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        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="retrieve" compatibility="9.1.000" expanded="true" height="68" name="Retrieve Admire1_Shift24_Step12" width="90" x="112" y="493">
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      </operator>
      <operator activated="true" class="rename" compatibility="9.1.000" expanded="true" height="82" name="Rename (3)" width="90" x="246" y="493">
        <parameter key="old_name" value="att302"/>
        <parameter key="new_name" value="KP"/>
        <list key="rename_additional_attributes"/>
      </operator>
      <operator activated="true" class="set_role" compatibility="9.1.000" expanded="true" height="82" name="Set Role Test (3)" origin="GENERATED_SAMPLE" width="90" x="380" y="493">
        <parameter key="attribute_name" value="KP"/>
        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="keras:sequential" compatibility="1.0.003" expanded="true" height="166" name="Keras Model (3)" width="90" x="514" y="340">
        <parameter key="input shape" value="(1,5,301)"/>
        <parameter key="loss" value="categorical_crossentropy"/>
        <parameter key="optimizer" value="Adam"/>
        <parameter key="learning rate" value="0.001"/>
        <parameter key="momentum" value="0.0"/>
        <parameter key="rho" value="0.9"/>
        <parameter key="beta 1" value="0.999"/>
        <parameter key="beta 2" value="0.999"/>
        <parameter key="epsilon" value="1.0E-8"/>
        <parameter key="decay" value="0.0"/>
        <parameter key="schedule decay" value="0.004"/>
        <parameter key="Nesterov" value="false"/>
        <parameter key="use metric" value="false"/>
        <enumeration key="metric"/>
        <parameter key="epochs" value="512"/>
        <parameter key="batch size" value="64"/>
        <enumeration key="callbacks">
          <parameter key="callbacks" value="TensorBoard(log_dir='./logs', histogram_freq=0, write_graph=True, write_images=False, embeddings_freq=0, embeddings_layer_names=None, embeddings_metadata=None)"/>
        </enumeration>
        <parameter key="verbose" value="1"/>
        <parameter key="validation split" value="0.0"/>
        <parameter key="shuffle" value="false"/>
        <parameter key="fix seed" value="false"/>
        <parameter key="random seed" value="0"/>
        <process expanded="true">
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            <parameter key="layer_type" value="Conv2D"/>
            <parameter key="filters" value="301"/>
            <parameter key="kernel_size_1d" value="9"/>
            <parameter key="kernel_size_2d" value="2.2"/>
            <parameter key="kernel_size_3d" value="1.1"/>
            <parameter key="strides_1d" value="9"/>
            <parameter key="strides_2d" value="1.1"/>
            <parameter key="strides_3d" value="1.1"/>
            <parameter key="padding" value="valid"/>
            <parameter key="padding_1d" value="1."/>
            <parameter key="padding_2d" value="(1, 1)"/>
            <parameter key="padding_3d" value="(1, 1, 1)"/>
            <parameter key="cropping_1d" value="1.1"/>
            <parameter key="cropping_2d" value="((1, 1), (1, 1))"/>
            <parameter key="cropping_3d" value="((1, 1), (1, 1), (1, 1))"/>
            <parameter key="size_1d" value="2"/>
            <parameter key="size_2d" value="2.2"/>
            <parameter key="size_3d" value="2.2"/>
            <parameter key="data_format" value="'channels_last'"/>
            <parameter key="dilation_rate_1d" value="1"/>
            <parameter key="dilation_rate_2d" value="1.1"/>
            <parameter key="dilation_rate_3d" value="1.1"/>
            <parameter key="depth_multiplier" value="1"/>
            <parameter key="activation_function" value="'relu'"/>
            <parameter key="use_bias" value="true"/>
            <parameter key="kernel_initializer" value="glorot_uniform(seed=None)"/>
            <parameter key="bias_initializer" value="Zeros()"/>
            <parameter key="depthwise_initializer" value="glorot_uniform(seed=None)"/>
            <parameter key="pointwise_initializer" value="glorot_uniform(seed=None)"/>
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            <parameter key="bias_regularizer" value="None"/>
            <parameter key="activity_regularizer" value="None"/>
            <parameter key="depthwise_regularizer" value="None"/>
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            <parameter key="bias_constraint" value="None"/>
            <parameter key="depthwise_constraint" value="None"/>
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            <parameter key="pool_size_3d" value="2.2"/>
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            <parameter key="rate" value="0.25"/>
            <parameter key="noise_shape" value="None"/>
            <parameter key="seed" value="None"/>
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            <parameter key="kernel_initializer" value="glorot_uniform(seed=None)"/>
            <parameter key="bias_initializer" value="Zeros()"/>
            <parameter key="kernel_regularizer" value="None"/>
            <parameter key="bias_regularizer" value="None"/>
            <parameter key="activity_regularizer" value="None"/>
            <parameter key="kernel_constraint" value="None"/>
            <parameter key="bias_constraint" value="None"/>
            <parameter key="rate" value="0.1"/>
            <parameter key="noise_shape" value="None"/>
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            <parameter key="activation_function" value="'sigmoid'"/>
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            <parameter key="kernel_initializer" value="glorot_uniform(seed=None)"/>
            <parameter key="bias_initializer" value="Zeros()"/>
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            <parameter key="bias_regularizer" value="None"/>
            <parameter key="activity_regularizer" value="None"/>
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            <parameter key="noise_shape" value="None"/>
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            <parameter key="bias_initializer" value="Zeros()"/>
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            <parameter key="bias_regularizer" value="None"/>
            <parameter key="activity_regularizer" value="None"/>
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            <parameter key="bias_constraint" value="None"/>
            <parameter key="rate" value="0.1"/>
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            <parameter key="dims" value="1.1"/>
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          <connect from_op="Add Convolutional Layer (2)" from_port="layers 1" to_op="Add Pooling Layer (3)" to_port="layers"/>
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          <description align="center" color="yellow" colored="false" height="105" resized="false" width="180" x="1030" y="132">Il layer FLATTEN &amp;#232; usato per Input a pi&amp;#249; dimensioni e trasforma un layer a pi&amp;#249; dimensioni in una</description>
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      </operator>
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  </operator>
</process>
 
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