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.
Tagging!
You can also browse the example gallery by tags.
blog#
jupyter notebooks#
ANNoy Vector Index DB#
Examples related to the annoy and _annoy submodule instance.
Array API support#
Examples related to the _lib submodule with e.g. LogisticRegression instance.
Calibration#
Examples related to the metrics submodule with e.g. LogisticRegression instance.
Classification#
Examples related to the estimators submodule with e.g. LogisticRegression instance.
Clustering#
Examples related to the estimators submodule with e.g. LogisticRegression instance.
Cython#
Examples related to the cython submodule.
# 💡cython Need cython and setuptools
pip install scikitplot[build] setuptools
# (Recommended)
# !pip install cython setuptools
Multi-file builds: .pxi includes and external headers
Vector ops without NumPy: array(‘d’) + memoryviews
Workflow templates (train / hpo / predict) + CLI entry template
Decile#
Examples related to the decile submodule with e.g. LogisticRegression instance.
See also
Seaborn-style decile analysis (Lift / Gain / KS)
decileplot
Decomposition#
Examples related to the decomposition submodule with e.g. PCA instance.
Impute#
Examples related to the impute submodule
with a scikit-learn regressor (e.g., LinearRegression) instance.
# 💡impute may need voyager
pip install scikitplot[core]
# (Optionally)
# !pip install voyager
MemMap#
Examples related to the memmap submodule.
Memory-Mapping Showcase – Basic / Medium / Advanced
MLflow#
Examples related to the mlflow submodule
with a scikit-learn regressor (e.g., LinearRegression) instance.
# 💡mlflow Need mlflow
pip install scikitplot[mlflow]
# (Recommended)
# !pip install mlflow
Nc (NumCpp)#
Examples related to the nc submodule.
Preprocessing#
Examples related to the preprocessing submodule with
e.g., DummyCodeEncoder,
GetDummies instance.
See also
Random#
Examples related to the random submodule.
Enhanced KISS Random Generator - Complete Usage Examples
Regression#
Examples related to the metrics submodule with e.g., LinearRegression instance.
Seaborn#
Examples related to the seaborn submodule
with a scikit-learn regressor (e.g., LinearRegression) instance.
Stats#
Examples related to the stats submodule with e.g. LinearRegression instance.
Visualkeras#
Examples related to the visualkeras submodule with
e.g. a DL (ANN, CNN, NLP) tf.keras.Model model instance.
Important
⚠️ Hugging Face Deprecated Transformers models are not supported in TensorFlow — use KerasNLP or KerasHub instead.
# 💡visualkeras Need aggdraw tensorflow or tensorflow-cpu
pip install scikitplot[core, cpu]
# (Recommended)
# !pip install aggdraw
# !pip install tensorflow
python -c "import tensorflow as tf, google.protobuf as pb; print('tf', tf.__version__); print('protobuf', pb.__version__)"
python -m pip check
# If Needed
# pip install -U "protobuf<6"
# pip install protobuf==5.29.4
import tensorflow as tf
Visualkeras: Spam Classification Conv1D Dense Example
