anujonthemove

anujonthemove

anujonthemove

# https://stackoverflow.com/questions/10307280/how-to-define-a-shell-script-with-variable-number-of-arguments
run(){
    
    my_cmd=$1;
    # cmd_str='history -d $((HISTCMD)) && $my_cmd';
    shift
    #echo $my_cmd "$@"
    history -d $((HISTCMD-1)) && $my_cmd "$@"
}

anujonthemove

# directly taken from: https://unix.stackexchange.com/questions/177572/how-to-rename-terminal-tab-title-in-gnome-terminal
function set-title() {
  if [[ -z "$ORIG" ]]; then
    ORIG=$PS1
  fi
  TITLE="\[\e]2;$*\a\]"
  PS1=${ORIG}${TITLE}
}

anujonthemove

sudo apt-get install autoconf automake libtool curl make g++ unzip -y
git clone https://github.com/google/protobuf.git
cd protobuf
git submodule update --init --recursive
./autogen.sh
./configure
make
make check
sudo make install

anujonthemove

.ipynb_checkpoints
*/.ipynb_checkpoints/*
*.pyc
.vscode
*/.vscode/*

anujonthemove

import os
import numpy as np

def sample_learning_rate_value(low = 0.0001, high = 1):
    log_low = np.log10(low)
    log_high = np.log(high)
    r = np.random.randint(log_low, log_high)*np.random.rand()
    alpha = 10**r
    return alpha

anujonthemove

def save_pickle(pkl_object, name):
    with open(name, 'wb') as handle:
        pickle.dump(pkl_object, handle, protocol=pickle.HIGHEST_PROTOCOL)
        
def read_pickle(pickle_file):
    b = None
    with open(pickle_file, 'rb') as handle:
        b = pickle.load(handle)
    return b

anujonthemove

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

anujonthemove