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Merge branch 'awslabs:dev' into split-example
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npnv authored and Chen committed Aug 5, 2022
2 parents 117db36 + fb6293e commit bdf4950
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3 changes: 3 additions & 0 deletions docs/md2ipynb.py
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Expand Up @@ -36,6 +36,9 @@ def check_github_event(default):


def run_notebook(text, kernel_name, timeout) -> str:
# We add two blank lines at the end to ensure
# that the final cell also runs.
text += "\n" * 2
notebook = notedown.MarkdownReader().reads(text)

kwargs = {}
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Expand Up @@ -234,4 +234,4 @@ trainer = Trainer(epochs=5, callbacks=[es_callback])
estimator.trainer = trainer

pred = estimator.train(dataset.train)
```
```
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Expand Up @@ -13,7 +13,7 @@ This needs to be given:

As a result, the `split` method returns the splited dataset, consisting of the training data `training_dataset` and a "test template" that knows how to generate input/output test pairs.

## Data loading and processing
## Loading a dataset


```python
Expand All @@ -24,8 +24,6 @@ plt.rcParams["axes.grid"] = True
plt.rcParams["figure.figsize"] = (20,3)
```

### Get some datasets

For our examples, we will use data from the following `csv` file, which is originally sampled every 5 minutes, but we resample at hourly frequency. Note that this makes for a dataset consisting of a single time series, but everything we show here applies to any dataset, regardless of how many series it contains.


Expand All @@ -51,7 +49,7 @@ from gluonts.dataset.pandas import PandasDataset
dataset = PandasDataset(df, target="value")
```

## Specific splitting examples
## Train/test splits

Let's define a few helper functions to visualize data splits.

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1 change: 1 addition & 0 deletions docs/tutorials/data_manipulation/index.md
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Expand Up @@ -3,5 +3,6 @@
```{toctree}
:maxdepth: 1
pandasdataframes
dataset_splitting_example
synthetic_data_generation
```
1 change: 1 addition & 0 deletions requirements/requirements-articial-dataset.py
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holidays >= 0.9
2 changes: 2 additions & 0 deletions requirements/requirements-docs.txt
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Expand Up @@ -14,3 +14,5 @@ myst-parser
click
orjson
black
holidays~=0.9
matplotlib
1 change: 1 addition & 0 deletions requirements/requirements-test.txt
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Expand Up @@ -6,3 +6,4 @@ pytest~=5.0
ujson
orjson
requests
holidays~=0.9
2 changes: 0 additions & 2 deletions requirements/requirements.txt
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holidays>=0.9
matplotlib~=3.0
numpy~=1.16
pandas~=1.0
pydantic~=1.7
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