Commit c145bb3e authored by cif2cif's avatar cif2cif
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Updated README de preprocessing

parent cc9ffd48
......@@ -4,9 +4,8 @@ This directory contains the code for preprocessing the data generated by the sim
## Configuration
You should set the following variables in the notebook:
# File generated by the simulator
* INPUT_HDF5_FILE - Path to the file generated by the simulator.
* OUTPUT_PKL_PATH = '../data/anomaly_10/labels_df/' - Path to the folder where the pkl files are generated
* `INPUT_HDF5_FILE` - Path to the file generated by the simulator.
* `OUTPUT_PKL_PATH` - Path to the folder where the pkl files are generated
......@@ -31,7 +30,7 @@ For this purpose, the notebook dataframe_creation is used. This notebook generat
| Q3 | Third quartile of the window values |
| IQR | Interquartile range of the window values |
For executing the dataframe, it is needed to install the package h5py
For executing the dataframe, it is needed to install the package `h5py`.
$ pip install h5py
......@@ -41,4 +40,4 @@ $ jupyter notebook
Once the DataFrames are created, they are used to feed the autoencoder.
The output of the module is a pkl file per house in the OUTPUT_PKL_PATH. These files feed the machine learning system.
The output of the module is a pkl file per house in the `OUTPUT_PKL_PATH`. These files feed the machine learning system.
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