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fix typo (keras-team#2881)
* fix typo * Update scikit-learn-api.md
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docs/templates/scikit-learn-api.md

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# Wrappers for the Sciki-Learn API
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# Wrappers for the Scikit-Learn API
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You can use `Sequential` Keras models (single-input only) as part of your Scikit-Learn workflow via the wrappers found at `keras.wrappers.sklearn.py`.
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When using scikit-learn's `grid_search` API, legal tunable parameters are
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those you could pass to `sk_params`, including fitting parameters.
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In other words, you could use `grid_search` to search for the best
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`batch_size` or `nb_epoch` as well as the model parameters.
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`batch_size` or `nb_epoch` as well as the model parameters.

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