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Updated Solar example (#43)

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This commit is contained in:
Samuel Norling
2021-03-06 17:44:34 +01:00
committed by GitHub
parent 6eaac93f6f
commit c4f6445d11
2 changed files with 171 additions and 350 deletions
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examples/Multivariate-Flow-Solar.ipynb
+168 -335
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@@ -14,22 +14,22 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"from pts.dataset import to_pandas, MultivariateGrouper, TrainDatasets\n",
"from pts.dataset.repository import get_dataset, dataset_recipes\n",
"from gluonts.dataset.multivariate_grouper import MultivariateGrouper\n",
"from gluonts.dataset.repository.datasets import dataset_recipes, get_dataset\n",
"from pts.model.tempflow import TempFlowEstimator\n",
"from pts.model.transformer_tempflow import TransformerTempFlowEstimator\n",
"from pts import Trainer\n",
"from pts.evaluation import make_evaluation_predictions\n",
"from pts.evaluation import MultivariateEvaluator"
"from gluonts.evaluation.backtest import make_evaluation_predictions\n",
"from gluonts.evaluation import MultivariateEvaluator"
]
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
@@ -45,16 +45,16 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"dataset = get_dataset(\"solar_nips\", regenerate=False, shuffle=False)"
"dataset = get_dataset(\"solar_nips\", regenerate=False)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 11,
"metadata": {},
"outputs": [
{
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"MetaData(freq='H', target=None, feat_static_cat=[CategoricalFeatureInfo(name='feat_static_cat', cardinality='137')], feat_static_real=[], feat_dynamic_real=[], feat_dynamic_cat=[], prediction_length=24)"
]
},
"execution_count": 5,
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -74,7 +74,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 12,
"metadata": {},
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@@ -86,9 +86,18 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 13,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/samuelnorling/Programming/KTH/exjobb/zalandorosettaenv/lib/python3.8/site-packages/gluonts/dataset/multivariate_grouper.py:182: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
" return {FieldName.TARGET: np.array([funcs(data) for data in dataset])}\n"
]
}
],
"source": [
"dataset_train = train_grouper(dataset.train)\n",
"dataset_test = test_grouper(dataset.test)"
@@ -103,7 +112,7 @@
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{
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]
}
],
@@ -1394,9 +1227,9 @@
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examples/Time-Grad-Electricity.ipynb
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