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Merge pull request #113 from ChrisQlasty/master

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Scikit-learn 19.0 updates on .fit( ) arguments
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Aurélien Geron
2017-11-03 13:38:48 +01:00
committed by GitHub
parent 4fa8124d62 e2754cd72c
commit 998fd3197a
1 changed files with 8 additions and 1 deletions
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11_deep_learning.ipynb
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@@ -4635,10 +4635,17 @@
" #\"optimizer_class\": [tf.train.AdamOptimizer, partial(tf.train.MomentumOptimizer, momentum=0.95)],\n",
"}\n",
"\n",
"rnd_search = RandomizedSearchCV(DNNClassifier(random_state=42), param_distribs, n_iter=50,\n",
"rnd_search = RandomizedSearchCV(DNNClassifier(random_state=42), param_distribs, n_iter=50,\n",
" fit_params={\"X_valid\": X_valid1, \"y_valid\": y_valid1, \"n_epochs\": 1000},\n",
" random_state=42, verbose=2)\n",
"rnd_search.fit(X_train1, y_train1)"
"\n",
"# fit_params as a constructor argument was deprecated in [scikit-learn] version 0.19 and will be removed\n",
"# in version 0.21. Pass fit parameters to the fit method instead:"
"# rnd_search = RandomizedSearchCV(DNNClassifier(random_state=42), param_distribs, n_iter=50,\n",
"# random_state=42, verbose=2)\n",
"# fit_params={\"X_valid\": X_valid1, \"y_valid\": y_valid1, \"n_epochs\": 1000}\n"
"# rnd_search.fit(X_train1, y_train1, **fit_params)\n",
]
},
{