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language: en
pipeline:
- name: WhitespaceTokenizer
- name: CountVectorsFeaturizer
- name: EmbeddingIntentClassifier
policies:
- name: EmbeddingPolicy
  max_history: 10
  epochs: 100
  batch_size:

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div#notebook p, div#notebook{
    font-size: 100%;
    line-height: 125%;
}.rendered_html pre, .rendered_html table{
    font-size:85%;
    line-height: 125%;
}.CodeMirror, .CodeMirror pre, .CodeMirror-dialog, .CodeMirror-dialog .CodeMirror-search-field, .terminal-app .terminal {
    font-size: 130%;
    line-height: 125%;
}

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# Adapted from https://lobster1234.github.io/2017/12/03/run-tasks-with-aws-fargate-and-lambda/

import boto3
import os

def lambda_handler(event,context):
    client = boto3.client('ecs')
    response = client.run_task(
        cluster=os.getenv('CLUSTER'),
        launchType=os.getenv('LAUNCH_TYPE', 'FARGATE'),

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def dot_product(x, kernel):
    """
    Wrapper for dot product operation, in order to be compatible with both
    Theano and Tensorflow
    Args:
        x (): input
        kernel (): weights
    Returns:
    """
    if K.backend() == 'tensorflow':

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# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!

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import pandas as pd

def _map_to_pandas(rdds):
    """ Needs to be here due to pickling issues """
    return [pd.DataFrame(list(rdds))]

def toPandas(df, n_partitions=None):
    """
    Returns the contents of `df` as a local `pandas.DataFrame` in a speedy fashion. The DataFrame is
    repartitioned if `n_partitions` is passed.

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Things to remember when compiling/linking C/C++ software

by Angel Leon. March 17, 2015.

Include Paths

On the compilation phase, you will usually need to specify the different include paths so that the interfaces (.h, .hpp) which define structs, classes, constans, and functions can be found.

With gcc and llvm include paths are passed with -I/path/to/includes, you can pass as many -I as you need.

In Windows, cl.exe takes include paths with the following syntax: /I"c:\path\to\includes\ you can also pass as many as you need.

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import requests
import json


# For information on endpoints and arguments see the geonames
# API documentation at:
# 
#   http://www.geonames.org/export/web-services.html

class Geonames(object):

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"""

Takes two files produced by fastText's print-word-vectors or print-sentence-vectors and compares the vectors by similarity.

(See https://github.com/facebookresearch/fastText.)

This can be useful for benchmarking output or even generating benchmark data.

For example: