fclesio

#
# Licensed to the Apache Software Foundation (ASF) under one
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# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
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fclesio

• Installing prophet (1.1.3): Failed

  ChefBuildError

  Backend subprocess exited when trying to invoke build_wheel
  
  running bdist_wheel
  running build
  running build_py
  creating build

fclesio

$ conda install -c conda-forge pip

$ conda install -c conda-forge 'lightgbm>=3.3.3'

$ conda install -c conda-forge cmdstan

$ export PROPHET_REPACKAGE_CMDSTAN=False

$ export PRECOMPILED_HEADERS=false

fclesio

def get_classification_report(y_test, y_pred):
    '''Source: https://stackoverflow.com/questions/39662398/scikit-learn-output-metrics-classification-report-into-csv-tab-delimited-format'''
    from sklearn import metrics
    report = metrics.classification_report(y_test, y_pred, output_dict=True)
    df_classification_report = pd.DataFrame(report).transpose()
    df_classification_report = df_classification_report.sort_values(by=['f1-score'], ascending=False)
    return df_classification_report

fclesio

apiVersion: v1
kind: Pod
metadata:
  name: test-proxy-deploy
spec:
  volumes:
  - name: secret-volume
    secret:
      secretName: cloud_sql_key_secret
  containers:

fclesio

import awswrangler as wr
import pandas as pd

df = pd.DataFrame({"id": [1, 2], "value": ["foo", "boo"]})

# Armazenando os dados no Data Lake
wr.s3.to_parquet(
    df=df,
    path="s3://bucket/dataset/",
    dataset=True,

fclesio

## Ref: https://stackoverflow.com/questions/44785585/how-to-delete-all-docker-local-docker-images

docker container prune -f &&
docker stop $(docker ps -aq) &&
docker rm -vf $(docker ps -a -q) &&
docker rmi -f $(docker images -a -q)

fclesio

[
  {
    "Id":"value",
    "prediction":"value",
    "status-code":200
  }
]

fclesio

{
   "message":"OK",
   "method":"POST",
   "status-code":200,
   "timestamp":"2022-01-01T00:00:00.000000",
   "url":"http://0.0.0.0:1201/predict",
   "data":{
      "prediction":[
         {
            "input_text":"Flash crashes is a scenario where the price of stocks plunges but then quickly recovers.",

fclesio

# Special thanks for the user Humberto Diogenes from Python List (answer from Aug 11, 2008)
# Link: http://python.6.x6.nabble.com/O-jeito-mais-rapido-de-remover-acentos-de-uma-string-td2041508.html

# I found the issue by chance (I swear, haha) but this guy gave the tip before me
# Link: https://github.com/scikit-learn/scikit-learn/issues/12897#issuecomment-518644215

import spacy
from unicodedata import normalize
nlp = spacy.load('pt_core_news_sm')