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leeoniya / uPlot

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Star 6.9k
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Tests

leeoniya
leeoniya commented Dec 14, 2019

it's becoming more time-consuming and error-prone to manually re-test all the demos following internal refactorings and API adjustments.

now that the API is fleshed out a bit, it's possible to test a large amount of code (non-granularly) without having to simulate all interactions via Puppeteer or similar.

a lot of code can already be regression-tested by simply running all the demos and val

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good first issue

tslearn-team / tslearn

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Open

How to Save and Load fitted LearningShapelets model

1
balint-daniel
balint-daniel commented Feb 18, 2022

Describe the bug
How can I load the LearningShapelets model which is already fitted?
When I run the code below, I get this error: NotFittedError: This LearningShapelets instance is not fitted yet. Call 'fit' with appropriate arguments before using this estimator.

To Reproduce
A code sample to reproduce the problem:

from joblib import dump, load
from keras.models import load_
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bug help wanted good first issue
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timeseriesAI / tsai

Star 1.7k

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

python machine-learning timeseries deep-learning time-series regression cnn pytorch rocket transformer forecasting classification rnn sequential fastai time-series-analysis time-series-classification self-supervised state-of-the-art inceptiontime
  • Updated Mar 3, 2022
  • Jupyter Notebook

shubhomoydas / ad_examples

Star 742

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

streaming timeseries time-series lstm generative-adversarial-network gan rnn autoencoder ensemble-learning trees active-learning concept-drift graph-convolutional-networks interpretability anomaly-detection adversarial-attacks explaination anogan unsuperivsed nettack
  • Updated Feb 10, 2022
  • Python

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