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| time_feat: bool = False, | ||
| dropout: float = 0.0, | ||
| lags_seq: list = ["Q", "M", "W", "D", "H", "T", "S"], | ||
| lags_seq: list = ["QE", "ME", "W", "D", "h", "min", "s"], |
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This also requires latest pandas versions right?
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It'll be nice to check if the Colab works (with the current requirements file) before we merge this
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@kiranmaya I've pinned the versions of numpy and pandas as was suggested... can you test if that works? |
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It was working now. will double-check and let you know. |
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thanks... i'll wait for your confirmation and merge |
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working when numpy is at v 1.26.4 . but when I run demo note book as it is ,it wont execute ,because somehow ,numpy is at 2.1.0 . |
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@kiranmaya can we pin numpy to <2 ? |
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see my packages list once . |
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ok lets pin numpy to <= 1.26.4 |
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject |
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or lets not change numpy and see ? |
i think ,torch needs to be updated to 2.5.1 , currently it is torch>=2.0.0 so pip went all the way to top . |
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@kiranmaya i just tested and all seems to work with pytorch 2.6.0 and 2.7.0 |
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just one dependency is enough,gluonts[torch] , it is installing whatever it needs. |
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ok let me remove the rest |
update to use latest gluonts version