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examples/Handler Methods.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![Neuraxle Handler Methods](./images/neuraxle_handler_methods.png)"
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"![Neuraxle Handler Methods](./_images/neuraxle_handler_methods.png)"
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]
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"2. [\\_will\\_fit(data_container, context)](https://www.neuraxle.org/stable/api/neuraxle.base.html#neuraxle.base._FittableStep._will_fit): Apply side effects before fit.\n",
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"3. [\\_fit\\_data\\_container(data_container, context)](https://www.neuraxle.org/stable/api/neuraxle.base.html#neuraxle.base._FittableStep._fit_data_container): Fit data container.\n",
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"4. [\\_did\\_fit(data_container, context)](https://www.neuraxle.org/stable/api/neuraxle.base.html#neuraxle.base._FittableStep._did_fit): Apply side effects after fit.\n",
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"5. [\\_did\\_process(data_container, context)](https://www.neuraxle.org/stable/api/neuraxle.base.html#neuraxle.base._TransformerStep._did_process): Apply side effects after any step method.\n",
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"\n",
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"### [handle_transform](https://www.neuraxle.org/stable/api/neuraxle.base.html#neuraxle.base._TransformerStep.handle_transform)\n",
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"\n",
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"\n",
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"When you need to apply side effects, or change the execution flow:\n",
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"\n",
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"- Edit the [DataContainer](https://www.neuraxle.org/stable/api/neuraxle.data_container.html#neuraxle.data_container.DataContainer)\n",
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"- Call a method on a step\n",
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"- Mini-Batching (see [MiniBatchSequentialPipeline](https://www.neuraxle.org/stable/api/neuraxle.pipeline.html#neuraxle.pipeline.MiniBatchSequentialPipeline))\n",
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"- Caching (see [neuraxle.checkpoint](https://www.neuraxle.org/stable/api/neuraxle.checkpoints.html) package)\n",
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"- etc.\n",
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"* Edit the [DataContainer](https://www.neuraxle.org/stable/api/neuraxle.data_container.html#neuraxle.data_container.DataContainer)\n",
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"* Call a method on a step\n",
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"* Mini-Batching (see [MiniBatchSequentialPipeline](https://www.neuraxle.org/stable/api/neuraxle.pipeline.html#neuraxle.pipeline.MiniBatchSequentialPipeline))\n",
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"* Caching (see [neuraxle.checkpoint](https://www.neuraxle.org/stable/api/neuraxle.checkpoints.html) package)\n",
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"* etc.\n",
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"\n",
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"### [HandleOnlyMixin](https://www.neuraxle.org/stable/api/neuraxle.base.html#neuraxle.base.HandleOnlyMixin)\n",
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"\n",

examples/Introduction to Time Series Processing.ipynb

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"\n",
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"Here is how the 3D data cube looks like. So we'll have a train and a test data cube, and might create validation data cubes as well: \n",
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"\n",
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"![](images/time-series-data.jpg)\n",
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"![Time Series Data](./_images/neuraxle_time_series_data.png)\n",
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"\n",
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"So we have 3D data of shape `[batch_size, time_steps, features]`. If this and the above is still unclear to you, you may want to [learn more on the 3D shape of time series data](https://www.quora.com/What-do-samples-features-time-steps-mean-in-LSTM/answers/79038267).\n"
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examples/Step Saving And Lifecycle.ipynb

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"source": [
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"## Lifecycle\n",
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"\n",
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"![Machine Learning Lifecycle in Neuraxle](./images/neuraxle_machine_learning_lifecycle.png)"
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"![Machine Learning Lifecycle in Neuraxle](./_images/neuraxle_machine_learning_lifecycle.png)"
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]
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},
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{
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examples/images/time-series-data.jpg

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