galvanic

#! /bin/env/python3

'''
use:
    ```bash
    $ python3 create_numbers_string.py | pbcopy
    ```
    The second part after the pipe, pipes the stout directly into your clipboard on macOS.
    If not on macOS, omit the part after the pipe:
    ```bash

galvanic

default_parameters:

  experiment: offline training

  dataset_filename: trec2007-1607252257
  label_type:
    ham_label: -1
    spam_label: 1

galvanic

metrics                                                                       AUC      FNR      FPR  error_test  error_train
repetition dataset             classifier          attack     % poisoned                                                    
1          trec2007-1607201347 adaline             dictionary 0.0            0.96     0.00     0.07        0.03         0.02
                                                              0.1            0.50     1.00     0.00        0.66         0.70
                                                              0.2            0.50     1.00     0.00        0.67         0.73
                                                              0.5            0.50     1.00     0.00        0.66         0.83
                                                   empty      0.0            0.96     0.00     0.07        0.02         0.02
                                                              0.1            0.96     0.00     0.08        0.03         0.03
                        

galvanic

default_parameters:

  experiment: adaptive combination

  dataset_filename: enron-kayla
  label_type:
    ham_label: -1
    spam_label: 1

galvanic

default_parameters:

  experiment: adaptive combination

  dataset_filename: enron-kayla
  label_type:
    ham_label: -1
    spam_label: 1

galvanic

default_parameters:

  experiment: adaptive combination

  dataset_filename: enron-kayla
  label_type:
    ham_label: -1
    spam_label: 1

galvanic

default_parameters:

  experiment: adaptive combination

  dataset_filename: enron-kayla
  label_type:
    ham_label: -1
    spam_label: 1

galvanic

metrics                                                 AUC      FNR      FPR  error_test  error_train
classifier          attack   % poisoned GD method                                                     
adaline             empty    0.0        mini-batch     0.94     0.00     0.12        0.03         0.01
                                        stochastic     0.58     0.65     0.20        0.54         0.51
                                        batch          0.93     0.00     0.14        0.03         0.01
                             0.5        mini-batch     0.92     0.01     0.15        0.04         0.01
                                        stochastic     0.45     0.57     0.53        0.56         0.29
                                        batch          0.90     0.02     0.19        0.06         0.00

galvanic

Upset chart example

A simple upset chart implementation, a chart type useful for visualising set intersections, applied to flatmate-purchase assignment data from my onlineshop project.

See it live on bl.ocks

galvanic

cat *.ipynb | jq '.cells' | jq -c '.[] | select(.cell_type | contains("markdown"))' | jq -c '. | select(.source[] | contains("#")) | .source[]' | grep "#" | sed 's/"//g' | sed 's/\\n//g' | sed 's/#/\t/g' | sed 's/\(.*\)\t/\1-/'