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drorata

#!/usr/bin/env bash

echo "Saving PYTHONPATH"
ORIGINAL_PYTHONPATH=$PYTHONPATH
echo "Prepending package to PYTHONPATH"
export PYTHONPATH="$PWD/:$PWD/mypackage/::$ORIGINAL_PYTHONPATH"
echo "Starting Jupyter"
jupyter notebook
echo "Reverting to the original PYTHONPATH"
export PYTHONPATH=$ORIGINAL_PYTHONPATH

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def predict_row(row, clf):
    """
    Transform row to a 1-row pandas.DataFrame and predict

    When iterating of rows of a DataFrame, each row is represented as a
    pd.Series. The classifiers in use are expecting a DataFrame. This function
    turns the row into a 1 x n_featurs DataFrame and apply the prediction of a
    trained classier.

    Parameters

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X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.4)

parameters = {
    'clf__C': [0.01, 0.1, 1, 2, 5, 10, 50, 100],
    'clf__class_weight': [
        {0: 1, 1: 1}, 
        {0: 2, 1: 1}, {0:1, 1:2},
        {0: 5, 1: 1}, {0:1, 1:5}]
}

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Assume you have a DataFrame as below:

import pandas as pd
import numpy as np

np.random.seed(42)
N = 10
df = pd.DataFrame(
 {

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FROM continuumio/miniconda3

COPY environment.yml /tmp

RUN apt-get update && apt-get install -y \
  freetds-dev \
  python-dev \
  build-essential \
  && rm -rf /var/lib/apt/lists/*

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drorata

import json
# Import smtplib for the actual sending function
import smtplib

# Import the email modules we'll need
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from datetime import datetime

def send_email(data):