Examples#
This is the gallery of examples that showcase how scikit-plots can be used. Some examples demonstrate the use of the APIs Reference in general and some demonstrate specific applications in tutorial form. Also check out our user guide for more detailed illustrations.
This page contains example plots. Click on any image to see the full image and source code.
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blog#
jupyter notebooks#
Annoy#
Examples related to the annoy module instance.
Array API support#
Examples related to the _lib module with e.g. LogisticRegression instance.
Calibration#
Examples related to the metrics module with e.g. LogisticRegression instance.
Classification#
Examples related to the estimators module with e.g. LogisticRegression instance.
Clustering#
Examples related to the estimators module with e.g. LogisticRegression instance.
Decomposition#
Examples related to the decomposition module with e.g. PCA instance.
Impute#
Examples related to the impute module
with a scikit-learn regressor (e.g., LinearRegression) instance.
KeyToDataScience#
Examples related to the kds module with e.g. LogisticRegression instance.
See also
modelplotpy#
Examples related to the modelplotpy module with e.g. LogisticRegression instance.
See also
Preprocessing#
Examples related to the preprocessing module with
e.g., DummyCodeEncoder,
GetDummies instance.
See also
Regression#
Examples related to the metrics module with e.g., LinearRegression instance.
SeabornX#
Examples related to the snsx module
with a scikit-learn regressor (e.g., LinearRegression) instance.
Stats#
Examples related to the stats module with e.g. LinearRegression instance.
Visualkeras ANN#
Examples related to the visualkeras module with e.g. a tf.keras.Model model instance.
Visualkeras: Spam Classification Conv1D Dense Example
Visualkeras CNN#
Examples related to the visualkeras module with e.g. a tf.keras.Model model instance.
Visualkeras NLP#
Examples related to the visualkeras module with e.g. a tf.keras.Model model instance.
Important
⚠️ Deprecated Transformers models are not supported in TensorFlow — use KerasNLP or KerasHub instead. 🚫 transformers deprecated models.