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component: | ||
name: sshe_linr | ||
description: '' | ||
provider: fate | ||
version: 2.0.0-beta | ||
labels: [ ] | ||
roles: | ||
- guest | ||
- host | ||
parameters: | ||
epochs: | ||
type: ConstrainedNumberMeta | ||
default: 20 | ||
optional: true | ||
description: max iteration num | ||
type_meta: | ||
title: ConstrainedNumberMeta | ||
exclusiveMinimum: 0 | ||
type: integer | ||
batch_size: | ||
type: ConstrainedNumberMeta | ||
default: | ||
optional: true | ||
description: batch size, None means full batch, otherwise should be no less | ||
than 10, default None | ||
type_meta: | ||
title: ConstrainedNumberMeta | ||
minimum: 10 | ||
type: integer | ||
tol: | ||
type: ConstrainedNumberMeta | ||
default: 0.0001 | ||
optional: true | ||
description: '' | ||
type_meta: | ||
title: ConstrainedNumberMeta | ||
minimum: 0 | ||
type: number | ||
early_stop: | ||
type: type | ||
default: diff | ||
optional: true | ||
description: early stopping criterion, choose from {weight_diff, diff, abs} | ||
type_meta: | ||
title: type | ||
type: string | ||
learning_rate: | ||
type: ConstrainedNumberMeta | ||
default: 0.05 | ||
optional: true | ||
description: learning rate | ||
type_meta: | ||
title: ConstrainedNumberMeta | ||
minimum: 0 | ||
type: number | ||
reveal_every_epoch: | ||
type: bool | ||
default: false | ||
optional: true | ||
description: whether reveal encrypted result every epoch, if False, only reveal | ||
at the end of training | ||
type_meta: | ||
title: bool | ||
type: boolean | ||
default: true | ||
description: whether output prediction result per cv fold | ||
init_param: | ||
type: InitParam | ||
default: | ||
method: random_uniform | ||
fill_val: 0.0 | ||
fit_intercept: true | ||
random_state: | ||
optional: true | ||
description: Model param init setting. | ||
type_meta: | ||
title: InitParam | ||
$ref: '#/definitions/abc__InitParam' | ||
definitions: | ||
abc__InitParam: | ||
title: InitParam | ||
type: object | ||
properties: | ||
method: | ||
title: Method | ||
default: zeros | ||
type: string | ||
fill_val: | ||
title: Fill Val | ||
default: 0.0 | ||
anyOf: | ||
- type: integer | ||
- type: number | ||
fit_intercept: | ||
title: Fit Intercept | ||
default: true | ||
type: boolean | ||
random_state: | ||
title: Random State | ||
type: integer | ||
default: | ||
method: random_uniform | ||
fill_val: 0.0 | ||
fit_intercept: true | ||
random_state: | ||
description: Model param init setting. | ||
threshold: | ||
type: ConstrainedNumberMeta | ||
default: 0.5 | ||
optional: true | ||
description: predict threshold for binary data | ||
type_meta: | ||
title: ConstrainedNumberMeta | ||
minimum: 0.0 | ||
maximum: 1.0 | ||
type: number | ||
reveal_loss_freq: | ||
type: ConstrainedNumberMeta | ||
default: 1 | ||
optional: true | ||
description: rounds to reveal training loss, only effective if `early_stop` | ||
is 'loss' | ||
type_meta: | ||
title: ConstrainedNumberMeta | ||
minimum: 1 | ||
type: integer | ||
cv_param: | ||
type: CVParam | ||
default: | ||
n_splits: 5 | ||
shuffle: false | ||
random_state: | ||
optional: true | ||
description: cross validation param | ||
type_meta: | ||
title: CVParam | ||
$ref: '#/definitions/abc__CVParam' | ||
definitions: | ||
abc__CVParam: | ||
title: CVParam | ||
type: object | ||
properties: | ||
n_splits: | ||
title: N Splits | ||
exclusiveMinimum: 1 | ||
type: integer | ||
shuffle: | ||
title: Shuffle | ||
default: false | ||
type: boolean | ||
random_state: | ||
title: Random State | ||
type: integer | ||
required: | ||
- n_splits | ||
default: | ||
n_splits: 5 | ||
shuffle: false | ||
random_state: | ||
description: cross validation param | ||
metrics: | ||
type: type | ||
default: | ||
- auc | ||
optional: true | ||
description: '' | ||
type_meta: | ||
title: type | ||
type: string | ||
output_cv_data: | ||
type: bool | ||
default: true | ||
optional: true | ||
description: whether output prediction result per cv fold | ||
type_meta: | ||
title: bool | ||
type: boolean | ||
default: true | ||
description: whether output prediction result per cv fold | ||
input_artifacts: | ||
data: | ||
train_data: | ||
types: | ||
- dataframe | ||
optional: false | ||
stages: | ||
- train | ||
roles: | ||
- guest | ||
- host | ||
description: '' | ||
is_multi: false | ||
validate_data: | ||
types: | ||
- dataframe | ||
optional: true | ||
stages: | ||
- train | ||
roles: | ||
- guest | ||
- host | ||
description: '' | ||
is_multi: false | ||
test_data: | ||
types: | ||
- dataframe | ||
optional: false | ||
stages: | ||
- predict | ||
roles: | ||
- guest | ||
- host | ||
description: '' | ||
is_multi: false | ||
cv_data: | ||
types: | ||
- dataframe | ||
optional: false | ||
stages: | ||
- cross_validation | ||
roles: | ||
- guest | ||
- host | ||
description: '' | ||
is_multi: false | ||
model: | ||
warm_start_model: | ||
types: | ||
- json_model | ||
optional: true | ||
stages: | ||
- train | ||
roles: | ||
- guest | ||
- host | ||
description: '' | ||
is_multi: false | ||
input_model: | ||
types: | ||
- json_model | ||
optional: false | ||
stages: | ||
- predict | ||
roles: | ||
- guest | ||
- host | ||
description: '' | ||
is_multi: false | ||
output_artifacts: | ||
data: | ||
train_output_data: | ||
types: | ||
- dataframe | ||
optional: false | ||
stages: | ||
- train | ||
roles: | ||
- guest | ||
description: '' | ||
is_multi: false | ||
test_output_data: | ||
types: | ||
- dataframe | ||
optional: false | ||
stages: | ||
- predict | ||
roles: | ||
- guest | ||
description: '' | ||
is_multi: false | ||
cv_output_datas: | ||
types: | ||
- dataframe | ||
optional: true | ||
stages: | ||
- cross_validation | ||
roles: | ||
- guest | ||
- host | ||
description: '' | ||
is_multi: true | ||
model: | ||
output_model: | ||
types: | ||
- json_model | ||
optional: false | ||
stages: | ||
- train | ||
roles: | ||
- guest | ||
- host | ||
description: '' | ||
is_multi: false | ||
metric: | ||
metric: | ||
types: | ||
- json_metric | ||
optional: false | ||
stages: [ ] | ||
roles: [ ] | ||
description: metric, invisible for user | ||
is_multi: false | ||
schema_version: v1 |
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