scikitplot.experimental

Experimental submodules for Scikit-Plots.

This package contains optional or in-development modules that extend Scikit-Plots functionality in areas such as customer lifetime analytics, LLM-based components, and UI tooling. These modules are provided on an experimental basis and may change or be removed in future releases.

Notes

• These modules are not guaranteed to be stable.

• Importing them is optional; missing dependencies are handled gracefully.

• APIs may change without notice.

_clv : Customer lifetime value analysis _doremi : Domain-specific modeling utilities _entities : Structured data entity representations _llm_provider : Large language model integration utilities _snsx : Extended Seaborn-based plotting tools _ui_app : Experimental user interface components pipeline : Experimental ML pipeline tools

User guide. See the experimental-index section for further details.

Musical note handling, synthesis, and notation.

Doremi

A modular Python toolkit for musical note processing, sound synthesis, and notation handling. Supports Western and solfège notation, tone generation, frequency mapping, waveform synthesis, and more.

See [1], [2], and [3] for model details.

Examples

>>> from scikitplot.experimental import _doremi as doremi
>>> doremi.compose_as_waveform()

References

[1]

Smith, J. (2021). *Sound Synthesis for Musicians*. Audio Tech Publishing. https://example.com/sound-synthesis-guide.pdf

[2]

3Blue1Brown. (2017). *Fourier Series*. YouTube. https://www.youtube.com/watch?v=spUNpyF58BY

[3]

Çelik, M. (2022, May 9). “How to generate 440 Hz A(LA) Note Sin wave with 44.1” Medium. https://celik-muhammed.medium.com/how-to-generate-440-hz-a-la-note-sin-wave-with-44-1-1e41f6ed9653

User guide. See the Do-Re-Mi section for further details.

_doremi.ENVELOPES	Mapping of envelope types to amplitude-modulation functions.
_doremi.compose_as_waveform	Generate a concatenated waveform from a musical composition input.
_doremi.play_waveform	Play audio from a NumPy array using either IPython (for Jupyter) or sounddevice.
_doremi.plot_waveform	Plot the waveform of mono or multi-channel audio data.
_doremi.save_waveform	Save waveform to an audio file using specified or auto-selected backend.
_doremi.save_waveform_as_mp3	Save waveform as an MP3 file using pydub and ffmpeg, with support for mono or stereo.
_doremi.sheet_to_note	Convert input sheet (str/list/dict) to a list of (note, octave, duration).
_doremi.sheet_converter	Display parsed notes or note frequencies from a musical sheet.
_doremi.serialize_sheet	Serialize sheet notes to JSON or YAML string.
_doremi.export_sheet	Enable serialization of compositions or note sheets.

Large Language Models.

llm_provider for Large Language Models.

See also

• https://huggingface.co/scikit-plots

• https://huggingface.co/spaces/scikit-plots/model-sight

Tip

• https://docs.litellm.ai/docs

• https://docs.litellm.ai/docs/providers/huggingface

User guide. See the LLM Provider (experimental) section for further details.

_llm_provider.LLM_PROVIDER_CONFIG_MAP
_llm_provider.LLM_PROVIDER_ENV_CONNECTOR_MAP
_llm_provider.get_response	Get response from LLM provider.
_llm_provider.load_mlflow_gateway_config	Load MLflow Gateway model configuration from a YAML file.

sklearn’s pipeline.

pipeline.

User guide. See the pipeline-index section for further details.

pipeline.pipeline

pipeline.py.