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dehaudehau
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Merge pull request #27 from yllieth/dataset-update
add a type to the dataset resource
2 parents db8e5e2 + 5dee944 commit 7fd539c

6 files changed

Lines changed: 50 additions & 38 deletions

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‎bower.json‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
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{
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"name": "predicsis_ml_sdk-javascript",
3-
"version": "0.5.0",
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"version": "0.6.0",
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"authors": [
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"Yllieth <sylvnimes@hotmail.com>",
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"Dehau"

‎dist/predicsis-jsSDK.js‎

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@@ -308,14 +308,15 @@ angular
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* <pre>
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* {
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* id: 'learning_dataset',
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* type: 'uploaded_dataset',
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* created_at: '2014-12-14T15:09:08.112Z',
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* updated_at: '2014-12-14T15:08:57.970Z',
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* name: 'Learning dataset',
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* header: null,
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* separator: null,
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* user_id: '541b06dc617070006d060000',
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* source_ids: ['54904b136170700007330000'],
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* parent_dataset_id: null,
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* dataset_id: null,
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* sampling: 100,
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* nb_of_lines: 50002,
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* children_dataset_ids: [],
@@ -341,7 +342,8 @@ angular
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* {
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* ...
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* source_ids: [],
344-
* parent_dataset_id: 'learning_dataset_with_model',
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* type: 'subset',
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* dataset_id: 'learning_dataset_with_model',
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* sampling: 70,
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* nb_of_lines: null,
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* preview: null
@@ -354,7 +356,8 @@ angular
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* {
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* ...
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* source_ids: [],
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* parent_dataset_id: 'learning_dataset_with_model',
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* type: 'subset',
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* dataset_id: 'learning_dataset_with_model',
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* sampling: -70,
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* nb_of_lines: null,
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* preview: null
@@ -393,6 +396,7 @@ angular
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* <pre>
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* {
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* ...
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* type: 'scoreset'
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* classifier_id: '5436431070632d15f4260000',
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* dataset_id: 'scoring_dataset',
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* modalities_set_id: '53fdfa7070632d0fc5030000',
@@ -426,7 +430,8 @@ angular
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* source_ids: ['original_source_id'],
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* header: true,
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* separator: '\t',
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* data_file: { filename: 'source.csv' }
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* data_file: { filename: 'source.csv' },
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* type: 'uploaded_dataset'
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* }
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* </pre>
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*
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* main_modality: $main_modality$,
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* separator: $separator$,
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* header: $header$,
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* data_file: { filename: $name$ }
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* data_file: { filename: $name$ },
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* type: 'scoreset'
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* }
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* </pre>
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*
@@ -481,6 +487,7 @@ angular
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return Sources.create(source)
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.then(function(source) {
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return self.create({
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type: 'uploaded_dataset',
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name: fileName,
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source_ids: [source.id],
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data_file: { filename: fileName }
@@ -523,14 +530,16 @@ angular
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sampling = sampling || DEFAULT_SAMPLING;
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var learn = {
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parent_dataset_id: id,
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type: 'subset',
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dataset_id: id,
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name: 'learned_' + name,
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data_file: {filename: 'learned_' + filename},
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sampling: sampling
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};
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var test = {
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parent_dataset_id: id,
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type: 'subset',
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dataset_id: id,
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name: 'tested_' + name,
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data_file: {filename: 'tested_' + filename},
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sampling: -sampling
@@ -612,7 +621,7 @@ angular
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})
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.then(function(childrenCandidates) {
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return childrenCandidates.reduce(function(memo, child) {
615-
if (child.parent_dataset_id === datasetId) {
624+
if (child.dataset_id === datasetId) {
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if (self.isTrainPart(child, DEFAULT_SAMPLING)) {
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memo.train = child;
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} else if (self.isTestPart(child, -DEFAULT_SAMPLING)) {
@@ -716,33 +725,32 @@ angular
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* @return {Boolean} <kbd>true</kbd> / <kbd>false</kbd>
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*/
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this.hasChildren = function(dataset) {
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return Boolean(dataset.children_dataset_ids.length > 0);
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return Boolean(dataset.children_dataset_ids && dataset.children_dataset_ids.length > 0);
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};
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/**
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* @ngdoc function
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* @methodOf predicsis.jsSDK.models.Datasets
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* @name isParent
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* @description Tells if a dataset is a parent dataset.
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* <b>Note:</b> A parent may have any children, but its <kbd>parent_dataset_id</kbd> must be null
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* <b>Note:</b> A parent may have any children, but its <kbd>dataset_id</kbd> must be null
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* @param {Object} dataset Instance of {@link predicsis.jsSDK.models.Datasets dataset}
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* @return {Boolean} <kbd>true</kbd> / <kbd>false</kbd>
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*/
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this.isParent = function(dataset) {
732-
return Boolean(dataset.parent_dataset_id === null);
741+
return Boolean(dataset.type === 'uploaded_dataset');
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};
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/**
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* @ngdoc function
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* @methodOf predicsis.jsSDK.models.Datasets
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* @name isChild
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* @description Tells if a dataset is a child dataset
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* <b>Note:</b> A dataset is considered as a child if it has a parent. There is no orphan among datasets!
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* @param {Object} dataset Instance of {@link predicsis.jsSDK.models.Datasets dataset}
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* @return {Boolean} <kbd>true</kbd> / <kbd>false</kbd>
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*/
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this.isChild = function(dataset) {
745-
return Boolean(dataset.parent_dataset_id !== null);
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return Boolean(dataset.type === 'subset');
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};
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/**
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* <li><code>dataset.classifier !== null</code></li>
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* <li><code>dataset.dataset_id !== null</code></li>
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* </ul>
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* Since the API implements a type attribute, this check is really simpler
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* @param {Object} dataset Instance of {@link predicsis.jsSDK.models.Datasets dataset}
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* @return {Boolean} <kbd>true</kbd> / <kbd>false</kbd>
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*/
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this.isScore = function(dataset) {
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return Boolean(dataset.source_ids.length === 0)
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&& Boolean(dataset.main_modality !== null)
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&& Boolean(dataset.classifier !== null)
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&& Boolean(dataset.dataset_id !== null);
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return Boolean(dataset.type === 'scoreset');
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};
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});
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‎dist/predicsis-jsSDK.min.js‎

Lines changed: 1 addition & 1 deletion
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‎dist/predicsis-jsSDK.min.js.map‎

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‎lib/model/Datasets.js‎

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Original file line numberDiff line numberDiff line change
@@ -81,14 +81,15 @@
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* <pre>
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* {
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* id: 'learning_dataset',
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* type: 'uploaded_dataset',
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* created_at: '2014-12-14T15:09:08.112Z',
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* updated_at: '2014-12-14T15:08:57.970Z',
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* name: 'Learning dataset',
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* header: null,
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* separator: null,
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* user_id: '541b06dc617070006d060000',
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* source_ids: ['54904b136170700007330000'],
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* parent_dataset_id: null,
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* dataset_id: null,
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* sampling: 100,
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* nb_of_lines: 50002,
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* children_dataset_ids: [],
@@ -114,7 +115,8 @@
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* {
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* ...
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* source_ids: [],
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* parent_dataset_id: 'learning_dataset_with_model',
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* type: 'subset',
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* dataset_id: 'learning_dataset_with_model',
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* sampling: 70,
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* nb_of_lines: null,
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* preview: null
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* {
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* ...
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* source_ids: [],
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* parent_dataset_id: 'learning_dataset_with_model',
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* type: 'subset',
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* dataset_id: 'learning_dataset_with_model',
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* sampling: -70,
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* nb_of_lines: null,
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* preview: null
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* <pre>
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* {
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* ...
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* type: 'scoreset'
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* classifier_id: '5436431070632d15f4260000',
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* dataset_id: 'scoring_dataset',
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* modalities_set_id: '53fdfa7070632d0fc5030000',
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* source_ids: ['original_source_id'],
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* header: true,
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* separator: '\t',
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* data_file: { filename: 'source.csv' }
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* data_file: { filename: 'source.csv' },
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* type: 'uploaded_dataset'
203208
* }
204209
* </pre>
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*
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* main_modality: $main_modality$,
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* separator: $separator$,
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* header: $header$,
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* data_file: { filename: $name$ }
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* data_file: { filename: $name$ },
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* type: 'scoreset'
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* }
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* </pre>
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*
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254260
return Sources.create(source)
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.then(function(source) {
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return self.create({
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type: 'uploaded_dataset',
257264
name: fileName,
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source_ids: [source.id],
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data_file: { filename: fileName }
@@ -296,14 +303,16 @@ angular
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sampling = sampling || DEFAULT_SAMPLING;
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var learn = {
299-
parent_dataset_id: id,
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type: 'subset',
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dataset_id: id,
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name: 'learned_' + name,
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data_file: {filename: 'learned_' + filename},
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sampling: sampling
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};
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305313
var test = {
306-
parent_dataset_id: id,
314+
type: 'subset',
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dataset_id: id,
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name: 'tested_' + name,
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data_file: {filename: 'tested_' + filename},
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sampling: -sampling
@@ -385,7 +394,7 @@ angular
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})
386395
.then(function(childrenCandidates) {
387396
return childrenCandidates.reduce(function(memo, child) {
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if (child.parent_dataset_id === datasetId) {
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if (child.dataset_id === datasetId) {
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if (self.isTrainPart(child, DEFAULT_SAMPLING)) {
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memo.train = child;
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} else if (self.isTestPart(child, -DEFAULT_SAMPLING)) {
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* @return {Boolean} <kbd>true</kbd> / <kbd>false</kbd>
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*/
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this.hasChildren = function(dataset) {
492-
return Boolean(dataset.children_dataset_ids.length > 0);
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return Boolean(dataset.children_dataset_ids && dataset.children_dataset_ids.length > 0);
493502
};
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495504
/**
496505
* @ngdoc function
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* @methodOf predicsis.jsSDK.models.Datasets
498507
* @name isParent
499508
* @description Tells if a dataset is a parent dataset.
500-
* <b>Note:</b> A parent may have any children, but its <kbd>parent_dataset_id</kbd> must be null
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* <b>Note:</b> A parent may have any children, but its <kbd>dataset_id</kbd> must be null
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* @param {Object} dataset Instance of {@link predicsis.jsSDK.models.Datasets dataset}
502511
* @return {Boolean} <kbd>true</kbd> / <kbd>false</kbd>
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*/
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this.isParent = function(dataset) {
505-
return Boolean(dataset.parent_dataset_id === null);
514+
return Boolean(dataset.type === 'uploaded_dataset');
506515
};
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508517
/**
509518
* @ngdoc function
510519
* @methodOf predicsis.jsSDK.models.Datasets
511520
* @name isChild
512521
* @description Tells if a dataset is a child dataset
513-
* <b>Note:</b> A dataset is considered as a child if it has a parent. There is no orphan among datasets!
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* @param {Object} dataset Instance of {@link predicsis.jsSDK.models.Datasets dataset}
515523
* @return {Boolean} <kbd>true</kbd> / <kbd>false</kbd>
516524
*/
517525
this.isChild = function(dataset) {
518-
return Boolean(dataset.parent_dataset_id !== null);
526+
return Boolean(dataset.type === 'subset');
519527
};
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521529
/**
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583591
* <li><code>dataset.classifier !== null</code></li>
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* <li><code>dataset.dataset_id !== null</code></li>
585593
* </ul>
594+
* Since the API implements a type attribute, this check is really simpler
586595
* @param {Object} dataset Instance of {@link predicsis.jsSDK.models.Datasets dataset}
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* @return {Boolean} <kbd>true</kbd> / <kbd>false</kbd>
588597
*/
589598
this.isScore = function(dataset) {
590-
return Boolean(dataset.source_ids.length === 0)
591-
&& Boolean(dataset.main_modality !== null)
592-
&& Boolean(dataset.classifier !== null)
593-
&& Boolean(dataset.dataset_id !== null);
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return Boolean(dataset.type === 'scoreset');
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};
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});

‎package.json‎

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{
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"name": "predicsis_ml_sdk-javascript",
3-
"version": "0.5.0",
3+
"version": "0.6.0",
44
"description": "Javascript SDK for PredicSis ML API",
55
"main": "index.js",
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"scripts": {

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