よく話題になっている単語
動画数:141件
Passthrough some columns and drop others in a ColumnTransformer
In a ColumnTransformer, you can use the strings 'passthrough' and 'drop' in place of a transformer. Useful if you need to passthrough some columns and drop others!
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2021年10月01日
00:00:00 - 00:03:11
Drop the first category from binary features (only) with OneHotEncoder
New in version 0.23: Use drop='if_binary' with OneHotEncoder to drop the first category ONLY if it's a binary feature (meaning it has exactly two categories).
Note: Beginning in scikit-learn 1.0, drop='first' and drop='if_binary' can both be used with handle_unknown='ignore'. However, the dropped category and an unknown category will both be encoded as all zeros.
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2021年09月29日
00:00:00 - 00:04:07
Estimators only print parameters that have been changed
New in version 0.23: Estimators only print the parameters that are *not* set to their default values.
You can still see all parameters with get_params(), or restore the previous behavior with set_config().
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2021年09月24日
00:00:00 - 00:01:36
Load a toy dataset into a DataFrame
New in version 0.23: Need to load a toy dataset into a DataFrame, including column names? Set as_frame=True.
Want features and target as separate objects? Also set return_X_y=True.
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2021年09月22日
00:00:00 - 00:02:11
Get the feature names output by a ColumnTransformer
Need to get the feature names output by a ColumnTransformer?
Use get_feature_names(), which now works with "passthrough" columns (new in version 0.23)!
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=== WANT TO GET BETTER AT MACHINE LEARNING? ===
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2021年09月17日
00:00:00 - 00:02:18
Create an interactive diagram of a Pipeline in Jupyter
New in version 0.23: Create interactive diagrams of Pipelines (and other estimators) in Jupyter!
Click on any element to see more details. You can even export the diagram to an HTML file!
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=== WANT TO GET BETTER AT MACHINE LEARNING? ===
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2021年09月15日
00:00:00 - 00:02:08
Most parameters should be passed as keyword arguments
New in version 0.23: Most parameters are now expected to be passed as keyword arguments.
They will raise a warning ⚠️ if passed positionally, and will error 🛑 starting in 0.25.
Note: scikit-learn 0.25 has been renamed to scikit-learn 1.0.
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=== WANT TO GET BETTER AT MACHINE LEARNING? ===
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2021年09月10日
00:00:00 - 00:01:56
Don't use .values when passing a pandas object to scikit-learn
There's no need to use ".values" when passing a DataFrame or Series to scikit-learn... it knows how to access the underlying NumPy array!
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=== WANT TO GET BETTER AT MACHINE LEARNING? ===
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2021年09月07日
00:00:00 - 00:01:23
Add feature selection to a Pipeline
It's simple to add feature selection to a Pipeline:
1. Use SelectPercentile to keep the highest scoring features
2. Add feature selection after preprocessing but before model building
P.S. Make sure to tune the percentile value!
👉 New tips every TUESDAY and THURSDAY! 👈
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=== WANT TO GET BETTER AT MACHINE LEARNING? ===
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2021年09月02日
00:00:00 - 00:02:29
Use FunctionTransformer to convert functions into transformers
Want to do feature engineering within a ColumnTransformer or Pipeline?
1. Select an existing function (or write your own)
2. Convert it into a transformer using FunctionTransformer
3. 🥳
👉 New tips every TUESDAY and THURSDAY! 👈
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=== WANT TO GET BETTER AT MACHINE LEARNING? ===
1) LEARN THE FUNDAMENTALS in my intro course (free!): https://courses.dataschool.io/introduction-to-machine-learning-with-scikit-learn
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2021年08月31日
00:00:00 - 00:04:09