[How To] Run HELR (Homomorphic Encryption Logistic Regression) in macOS

HELR is a software project for performing a logistic regression training on encrypted data (Secure Logistic Regression based on Homomorphic Encryption: Design and Evaluation (https://medinform.jmir.org/2018/2/e19/)).

Step 1: brew install GMP

Step 2: brew install NTL

Step 3: git clone https://github.com/K-miran/HELR.git

Step 4: cd HELR

[How To] Print with staples in macOS

Step 1/3: If you have opened a PDF from Google Chrome, go to the Print dialogue box and click on the link "Print using system dialog.."

Step 2/3: Click on the dropdown menu that says "Media & Quality" and change it to "Finishing Options"

Step 3/3: Click on Staple dropdown options and select the number of staples and the orientation where you want the pages to be stapled.

[Solved] Install matplotlib / basemap in macOS

I have been trying to import the basemap module in my python script using "from mpl_toolkits.basemap import Basemap" but with no luck! I ran into issues while installing basemap with pip. Excerpt from the error:

  Installing build dependencies ... error

  error: subprocess-exited-with-error

  

  × pip subprocess to install build dependencies did not run successfully.

  │ exit code: 1

  ╰─> [552 lines of output]

      Ignoring numpy: markers 'python_version >= "3.10"' don't match your environment

      Ignoring numpy: markers 'python_version == "2.6" or (python_version >= "3.2" and python_version <= "3.3")' don't match your environment

      Ignoring cython: markers 'python_version == "3.2"' don't match your environment

...

...

        note: This error originates from a subprocess, and is likely not a problem with pip.

      error: legacy-install-failure

      

      × Encountered error while trying to install package.

      ╰─> numpy

      

      note: This is an issue with the package mentioned above, not pip.

      hint: See above for output from the failure.

      WARNING: There was an error checking the latest version of pip.

      [end of output]

  

  note: This error originates from a subprocess, and is likely not a problem with pip.

error: subprocess-exited-with-error

× pip subprocess to install build dependencies did not run successfully.

│ exit code: 1

╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

WARNING: There was an error checking the latest version of pip.

So I did a little digging and searched for necessary packages to compile and install basemap on macOS from the source. I have Python 3.9 and macOS 12.4. Here are the steps that worked for me:

[How To] Run Bidirectional LSTM in Python

 This is a sample program to run bidirectional LSTM in Python using Tensorflow. The complete code repository is available at https://github.com/devharsh/LSTM-Demo.

Code:

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun  1 13:34:00 2022.

@author: devharsh
"""

import matplotlib.pyplot as plt
from pandas import read_csv
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from tensorflow import keras
from tensorflow.keras import layers

inputs = keras.Input(shape=(None,), dtype="float64")
xem = layers.Embedding(101, 128)(inputs)
xl1 = layers.Bidirectional(layers.LSTM(64, return_sequences=True))(xem)
xl2 = layers.Bidirectional(layers.LSTM(64))(xl1)
outputs = layers.Dense(1, activation="sigmoid")(xl2)
model = keras.Model(inputs, outputs)
model.summary()