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@galvanic
Created September 4, 2016 20:06
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default_parameters:
experiment: adaptive combination
dataset_filename: enron-kayla
label_type:
ham_label: -1
spam_label: 1
classifier_fast:
type: adaline
training_parameters:
learning_rate: 0.005
initial_weights: null
testing_parameters: {}
classifier_slow:
type: logistic regression
training_parameters:
learning_rate: 0.0005
initial_weights: null
testing_parameters: {}
training_parameters:
adaptation_rate: 2
attack:
parameters:
start: .60
duration: .15
parameter_ranges:
- name: attack
key: [attack, type]
values:
- dictionary
- empty
- name: '% poisoned'
key: [attack, parameters, percentage_samples_poisoned]
values:
- .10
- .50
- name: window operator
key: [training_parameters, window_operator]
values:
- mean
- median
- name: window size
key: [training_parameters, window_size]
values:
- 1
- 2
- 5
- 200
- 500
- 1000
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