Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add Multivariate TPE to Katib UI #1625

Merged
merged 2 commits into from Aug 17, 2021
Merged

Add Multivariate TPE to Katib UI #1625

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
a313fce
Add Multivariate TPE to Katib UI
andreyvelich Aug 16, 2021
928ea1f
Modify Experiment params
andreyvelich Aug 16, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
3 changes: 3 additions & 0 deletions pkg/new-ui/v1beta1/frontend/src/app/constants/algorithms-settings.const.ts
View file
Open in desktop
Expand Up @@ -78,6 +78,8 @@ export const TPESettings: AlgorithmSetting[] = [
},
];

export const MultivariateTPESettings: AlgorithmSetting[] = [];
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Multivariate TPE accepts the following algorithm settings:

  • startup_trials : integer
  • ei_candidates : integer
  • random_state : integer

katib/pkg/suggestion/v1beta1/optuna/service.py

Lines 72 to 77 in 7439a37

if k == "startup_trials":
kwargs["n_startup_trials"] = int(v)
elif k == "ei_candidates":
kwargs["n_ei_candidates"] = int(v)
elif k == "random_state":
kwargs["seed"] = int(v)


export const CMAESSettings: AlgorithmSetting[] = [
{
name: 'random_state',
Expand Down Expand Up @@ -249,6 +251,7 @@ export const AlgorithmSettingsMap: { [key: string]: AlgorithmSetting[] } = {
[AlgorithmsEnum.HYPERBAND]: HyperbandSettings,
[AlgorithmsEnum.BAYESIAN_OPTIMIZATION]: BayesianOptimizationSettings,
[AlgorithmsEnum.TPE]: TPESettings,
[AlgorithmsEnum.MULTIVARIATE_TPE]: MultivariateTPESettings,
[AlgorithmsEnum.CMAES]: CMAESSettings,
[AlgorithmsEnum.SOBOL]: SOBOLSettings,
[AlgorithmsEnum.ENAS]: ENASSettings,
Expand Down
1 change: 1 addition & 0 deletions pkg/new-ui/v1beta1/frontend/src/app/constants/algorithms-types.const.ts
View file
Open in desktop
Expand Up @@ -9,6 +9,7 @@ export const AlgorithmNames = {
[AlgorithmsEnum.HYPERBAND]: 'Hyperband',
[AlgorithmsEnum.BAYESIAN_OPTIMIZATION]: 'Bayesian Optimization',
[AlgorithmsEnum.TPE]: 'Tree of Parzen Estimators',
[AlgorithmsEnum.MULTIVARIATE_TPE]: 'Multivariate Tree of Parzen Estimators',
[AlgorithmsEnum.CMAES]: 'Covariance Matrix Adaptation: Evolution Strategy',
[AlgorithmsEnum.SOBOL]: 'Sobol Quasirandom Sequence',
};
Expand Down
1 change: 1 addition & 0 deletions pkg/new-ui/v1beta1/frontend/src/app/enumerations/algorithms.enum.ts
View file
Open in desktop
Expand Up @@ -4,6 +4,7 @@ export enum AlgorithmsEnum {
HYPERBAND = 'hyperband',
BAYESIAN_OPTIMIZATION = 'bayesianoptimization',
TPE = 'tpe',
MULTIVARIATE_TPE = 'multivariate-tpe',
CMAES = 'cmaes',
SOBOL = 'sobol',
ENAS = 'enas',
Expand Down
21 changes: 6 additions & 15 deletions pkg/new-ui/v1beta1/frontend/src/app/services/experiment-form.service.ts
View file
Open in desktop
@@ -1,26 +1,17 @@
import {
FormBuilder,
Validators,
FormGroup,
FormArray,
FormControl,
} from '@angular/forms';
import { FormBuilder, Validators, FormGroup, FormArray } from '@angular/forms';
import { Injectable } from '@angular/core';
import { ObjectiveTypeEnum } from '../enumerations/objective-type.enum';
import {
AlgorithmsEnum,
EarlyStoppingAlgorithmsEnum,
} from '../enumerations/algorithms.enum';
import { BehaviorSubject } from 'rxjs';
import { createParameterGroup, createNasOperationGroup } from '../shared/utils';
import { K8sObject, SnackBarService, SnackType } from 'kubeflow';
import { dump, load } from 'js-yaml';
import { SnackBarService, SnackType } from 'kubeflow';
import { load } from 'js-yaml';
import {
ObjectiveSpec,
AlgorithmSpec,
ParameterSpec,
FeasibleSpaceMinMax,
GraphConfig,
NasOperation,
AlgorithmSetting,
} from '../models/experiment.k8s.model';
Expand Down Expand Up @@ -53,9 +44,9 @@ export class ExperimentFormService {
return this.builder.group({
type: 'maximize',
goal: 0.99,
metricName: 'accuracy',
metricName: 'Validation-accuracy',
metricStrategy: 'max',
additionalMetricNames: this.builder.array(['train-accuracy']),
additionalMetricNames: this.builder.array(['Train-accuracy']),
metricStrategies: this.builder.array([]),
setStrategies: this.builder.control(false),
});
Expand Down Expand Up @@ -99,7 +90,7 @@ export class ExperimentFormService {
createParameterGroup({
name: 'optimizer',
parameterType: 'categorical',
feasibleSpace: { list: ['sgd', 'adams', 'ftrl'] },
feasibleSpace: { list: ['sgd', 'adam', 'ftrl'] },
}),
]);
}
Expand Down