TSCGlue
Automatic Time Series Classification library built on top of aeon and scikit-learn.
Installation
pip install tscglue
Quick Start
from tscglue import utils
from tscglue.models import TSCGlue
from sklearn.metrics import accuracy_score
# Load a time series classification dataset
X_train, y_train, X_test, y_test = utils.load_dataset("ArrowHead")
# Create and train the model
model = TSCGlue(
random_state=270,
k_folds=10,
n_jobs=-1
)
model.fit(X_train, y_train)
# Make predictions
y_pred = model.predict(X_test)
accuracy = accuracy_score(y_test, y_pred)
print(f"Accuracy: {accuracy:.4f}")
1 maintainer
Metadata
1 maintainer
Release files for tscglue 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| tscglue-0.1.2.tar.gz | 3.8 MB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tscglue-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.8 MB
Release files / tscglue-0.1.2.tar.gz
| Download URL | tscglue-0.1.2.tar.gz |
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| Size | 3.8 MB |
| Tags | Source |
|
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| Size | 34.8 kB |
| Tags | Python 3 |
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