ai4ts

library0.0.3pypypiunverified

AI4TS (AI for Time Series) is a Python library for time series forecasting, classification, and anomaly detection using deep learning. Current version: 0.0.3, released 2023-11. The library is in early development with frequent releases.

ai-ml data

pip install ai4ts

github ↗package ↗homepage ↗

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

TSDataset

✓ from ai4ts.datasets import TSDataset

✗ from ai4ts import TSDataset

TSDataset is under datasets submodule

TimeSeriesForecaster

✓ from ai4ts.models import TimeSeriesForecaster

✗ from ai4ts import TimeSeriesForecaster

Model classes are under models submodule

Load a sample dataset and train a simple forecaster.

from ai4ts.datasets import TSDataset from ai4ts.models import TimeSeriesForecaster import torch dataset = TSDataset() X, y = dataset.load_data('airline') model = TimeSeriesForecaster(input_size=1, hidden_size=64, num_layers=2) model.train(X, y, epochs=10)

Debug

Known issues

gotchaThe library is in early alpha (v0.0.3). APIs are unstable and may change without notice.

fix

Pin to exact version and monitor GitHub for changes.

affects: <=0.0.3

deprecatedSome dataset loading functions use a different signature in GitHub examples vs. installed version. Check version compatibility.

fix

Refer to the documentation for your installed version; use `pip show ai4ts` to verify.

affects: 0.0.3

Upgrade

Version history

0.0.3latest on PyPI

Audit

Dependencies

torchrequiredDeep learning backend

numpyrequiredData manipulation

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Resources

githubhttps://github.com/WenjieDu/AI4TS ↗

packagehttps://pypi.org/project/ai4ts/ ↗

homepagehttps://time-series.ai ↗