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Merge pull request #110 from ibm-granite/import_fixes
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Some fixes for imports
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wgifford authored Aug 14, 2024
2 parents b188e80 + a598421 commit 8c79a5e
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Showing 5 changed files with 8 additions and 8 deletions.
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"from torch.optim.lr_scheduler import OneCycleLR\n",
"from transformers import EarlyStoppingCallback, Trainer, TrainingArguments, set_seed\n",
"\n",
"from tsfm_public import TinyTimeMixerForPrediction, TrackingCallback, count_parameters, load_dataset, plot_predictions"
"from tsfm_public import TinyTimeMixerForPrediction, TrackingCallback, count_parameters, load_dataset\n",
"from tsfm_public.toolkit.visualization import plot_predictions"
]
},
{
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5 changes: 3 additions & 2 deletions notebooks/hfdemo/tinytimemixer/ttm_benchmarking_512_96.ipynb
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"from torch.optim.lr_scheduler import OneCycleLR\n",
"from transformers import EarlyStoppingCallback, Trainer, TrainingArguments, set_seed\n",
"\n",
"from tsfm_public import TinyTimeMixerForPrediction, TrackingCallback, count_parameters, load_dataset, plot_predictions"
"from tsfm_public import TinyTimeMixerForPrediction, TrackingCallback, count_parameters, load_dataset\n",
"from tsfm_public.toolkit.visualization import plot_predictions"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.13"
}
},
"nbformat": 4,
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5 changes: 3 additions & 2 deletions notebooks/hfdemo/ttm_getting_started.ipynb
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"from torch.optim.lr_scheduler import OneCycleLR\n",
"from transformers import EarlyStoppingCallback, Trainer, TrainingArguments, set_seed\n",
"\n",
"from tsfm_public import TinyTimeMixerForPrediction, TrackingCallback, count_parameters, load_dataset, plot_predictions"
"from tsfm_public import TinyTimeMixerForPrediction, TrackingCallback, count_parameters, load_dataset\n",
"from tsfm_public.toolkit.visualization import plot_predictions"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
"version": "3.10.13"
}
},
"nbformat": 4,
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2 changes: 0 additions & 2 deletions tsfm_public/__init__.py
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"load_dataset",
"TrackingCallback",
"count_parameters",
"plot_predictions",
],
}

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count_parameters,
get_datasets,
load_dataset,
plot_predictions,
)
else:
# Standard
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1 change: 0 additions & 1 deletion tsfm_public/toolkit/__init__.py
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from .time_series_forecasting_pipeline import TimeSeriesForecastingPipeline
from .time_series_preprocessor import TimeSeriesPreprocessor, get_datasets
from .util import count_parameters
from .visualization import plot_predictions

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