Create a function to calculate a naive baseline model about deepvats

[vrodriguezf]

In GitLab by @lgs on Oct 30, 2020, 16:26

changed the description

[vrodriguezf]

In GitLab by @lgs on Oct 30, 2020, 17:43

marked the task Loads the train dataset as completed

[vrodriguezf]

In GitLab by @lgs on Oct 30, 2020, 17:43

marked the task Transform the dataset in autoencoder input tensors as completed

[vrodriguezf]

In GitLab by @lgs on Oct 30, 2020, 18:23

marked the task Compute the mean (or mode, or median) for each window as completed

[vrodriguezf]

In GitLab by @lgs on Oct 30, 2020, 19:29

marked the task Calculate the MSE and save into a list as completed

[vrodriguezf]

In GitLab by @lgs on Nov 3, 2020, 13:27

marked the task Compute the average MSE as completed

[vrodriguezf]

In GitLab by @lgs on Nov 3, 2020, 13:27

marked the task Log values into wandb as completed

[vrodriguezf]

In GitLab by @lgs on Nov 3, 2020, 13:28

assigned to @lgs

[vrodriguezf]

In GitLab by @lgs on Nov 6, 2020, 16:55

I have created the notebook called "04_baseline_models.ipynb".
In that notebook a new jobtype called "baseline_models" is created that allows to generate simple models considering the average or median of each window as predicted values.

[vrodriguezf]

In GitLab by @lgs on Nov 6, 2020, 17:13

mentioned in commit bc1da4b

[vrodriguezf]

In GitLab by @lgs on Nov 6, 2020, 17:32

mentioned in commit b96f207

[vrodriguezf]

In GitLab by @lgs on Nov 6, 2020, 17:33

mentioned in merge request !14

[vrodriguezf]

In GitLab by @lgs on Nov 6, 2020, 17:41

mentioned in merge request !15

[vrodriguezf]

In GitLab by @lgs on Nov 6, 2020, 17:43

mentioned in commit 35d8ce0