mavillan

name: ds_stack
channels:
  - default
  - conda-forge
  - h2oai
dependencies:
  - python=3.6
  - numpy=1.15.*
  - pandas=0.23.*
  - flask

mavillan

Keybase proof

I hereby claim:

• I am mavillan on github.
• I am nallivam (https://keybase.io/nallivam) on keybase.
• I have a public key ASBsaOkSNe87xQkOJCMOl0gweyv9xUiEenhVUz35qhTFsgo

To claim this, I am signing this object:

mavillan

kf = model_selection.KFold(n_splits=5, shuffle=True, random_state=23)

cv_scores = list()
best_iterations = list()

for train_idx,valid_idx in kf.split(train.loc[:,input_cols]):
    
    X_train,y_train = train.loc[train_idx,input_cols], train.loc[train_idx,target]
    X_valid,y_valid = train.loc[valid_idx,input_cols], train.loc[valid_idx,target]

mavillan

import torch
from torch import nn
import pytorch_lightning as pl

class SoftOrdering1DCNN(pl.LightningModule):

    def __init__(self, input_dim, output_dim, sign_size=32, cha_input=16, cha_hidden=32, 
                 K=2, dropout_input=0.2, dropout_hidden=0.2, dropout_output=0.2):
        super().__init__()

mavillan

mavillan

import papermill as pm
from pathlib import Path
import subprocess
import typer

def remove_cell_outputs(notebook_path:str) -> None:
    command = f"jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace {notebook_path}"
    process = subprocess.Popen(command.split(), stdout=subprocess.PIPE)
    output, error = process.communicate()
    print(output)