stefanondisponibile

# No standardization.
vectorize_layer = TextVectorization(output_mode="int", max_tokens=5, standardize=None)

# Lowercase text and strip punctuation. [DEFAULT]
vectorize_layer = TextVectorization(output_mode="int", max_tokens=5, standardize="lower_and_strip_punctuation")

# Apply a custom standardization function.
def replace_foo_with_bar(input_data):
  return tf.strings.regex_replace(input_data, "foo", "bar")
vectorize_layer = TextVectorization(output_mode="int", max_tokens=5, standardize=replace_foo_with_bar)

stefanondisponibile

#!/bin/bash

CWD=$(pwd)
GPROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.7.0/protobuf-cpp-3.7.0.tar.gz

compile_gprotobuf () {
    sudo apt-get install autoconf automake libtool curl make g++ unzip &&
    wget $GPROTOBUF_URL &&
    fname=protobuf-cpp-3.7.0.tar.gz &&
    tar xvzf $fname && rm $fname &&

stefanondisponibile

import pandas as pd
from scipy import stats
# df = .....
df = df[(np.abs(stats.zscore(df[feature_cols])) < 3).all(axis=1)]