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@triestpa
Created Jun 7, 2016
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Tensorflow 2
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"cells": [
{
"cell_type": "code",
"execution_count": 25,
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"source": [
"def custom_model(X, y):\n",
" layers = skflow.ops.dnn(X, [20, 40, 20], tf.tanh)\n",
" return skflow.models.logistic_regression(layers, y)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
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"outputs": [
{
"name": "stdout",
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"text": [
"Step #100, epoch #25, avg. train loss: 0.61585\n",
"Step #200, epoch #50, avg. train loss: 0.59296\n",
"Step #300, epoch #75, avg. train loss: 0.56212\n",
"Step #400, epoch #100, avg. train loss: 0.53000\n",
"Step #500, epoch #125, avg. train loss: 0.51094\n",
"Step #600, epoch #150, avg. train loss: 0.48331\n",
"Step #700, epoch #175, avg. train loss: 0.47346\n",
"Step #800, epoch #200, avg. train loss: 0.46050\n",
"Step #900, epoch #225, avg. train loss: 0.45013\n",
"Step #1000, epoch #250, avg. train loss: 0.44446\n"
]
},
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"data": {
"text/plain": [
"0.80382775119617222"
]
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"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
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],
"source": [
"tf_clf_c = skflow.TensorFlowEstimator(model_fn=custom_model, n_classes=2, batch_size=256, steps=1000, learning_rate=0.05)\n",
"tf_clf_c.fit(X_train, y_train)\n",
"metrics.accuracy_score(y_test, tf_clf_c.predict(X_test))"
]
}
],
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