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Merge pull request #117 from minjk-bl/devops
v2.0.3 updates
2 parents 5777932 + 43fed25 commit d6e3c8c

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‎css/boardFrame.css

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@@ -238,11 +238,11 @@
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background-color: rgb(253, 177, 133);
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}
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.vp-block.machine_learning .vp-block-header {
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background-color: rgb(249, 227, 214);
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background-color: #E8ECD0;
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}
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.vp-block.machine_learning.vp-focus .vp-block-header,
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.vp-block.machine_learning.vp-focus-child .vp-block-header {
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background-color: rgb(253, 177, 133);
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background-color: #C6CE94;
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}
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.vp-block.logic-define .vp-block-header {
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background-color: rgb(213, 231, 222);

‎css/component/instanceEditor.css

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@@ -17,8 +17,8 @@
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.vp-ins-select-container .vp-ins-search-icon {
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position: absolute;
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color: #C4C4C4;
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right: 5px;
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top: 5px;
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right: 7px;
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top: 7px;
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}
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.vp-ins-select-box {
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margin-top: 5px;
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.vp-ins-parameter-box {
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grid-column: 1/3;
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}
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.vp-ins-parameter-box:empty::after {
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content: '(Empty)';
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color: var(--gray-color);
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}
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.vp-ins-parameter {
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width: 100% !important;
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}

‎css/menuFrame.css

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.vp-menuitem.apps.vp-color-apps4 {
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background: #E56139;
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}
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.vp-menuitem.apps.vp-color-apps5 {
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background: #BEB727;
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}
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.vp-menuitem.apps.vp-color-apps6 {
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background: #91A541;
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}
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.vp-menuitem.apps.vp-color-apps7 {
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background: #718E41;
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}
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.vp-menuitem.apps.vp-color-preparing {
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background: var(--gray-color);
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}

‎data/libraries.json

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"desc" : "Data sets for machine learning",
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"file" : "m_ml/DataSets",
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"apps" : {
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"color": 1,
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"icon": "apps/apps_white.svg"
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"color": 5,
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"icon": "apps/apps_dataset.svg"
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}
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},
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{
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"desc" : "Data preparation for machine learning",
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"file" : "m_ml/DataPrep",
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"apps" : {
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"color": 1,
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"icon": "apps/apps_white.svg"
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"color": 5,
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"icon": "apps/apps_dataprep.svg"
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}
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},
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{
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"desc" : "Data split for machine learning",
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"file" : "m_ml/dataSplit",
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"apps" : {
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"color": 1,
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"color": 5,
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"icon": "apps/apps_datasplit.svg"
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}
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},
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{
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"id" : "ml_regression",
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"type" : "function",
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"level": 1,
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"name" : "Regression",
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"name" : "Regressor",
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"tag" : "REGRESSION,MODEL,MACHINE LEARNING,ML",
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"path" : "visualpython - machine_learning - regression",
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"desc" : "Regression model for machine learning",
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"file" : "m_ml/Regression",
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"apps" : {
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"color": 1,
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"icon": "apps/apps_model.svg"
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"color": 5,
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"icon": "apps/apps_regression.svg"
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}
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},
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{
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"id" : "ml_classification",
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"type" : "function",
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"level": 1,
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"name" : "Classification",
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"name" : "Classifier",
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"tag" : "CLASSIFICATION,MODEL,MACHINE LEARNING,ML",
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"path" : "visualpython - machine_learning - classification",
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"desc" : "Classification model for machine learning",
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"file" : "m_ml/Classification",
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"apps" : {
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"color": 1,
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"icon": "apps/apps_model.svg"
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"color": 6,
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"icon": "apps/apps_classification.svg"
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}
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},
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{
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"desc" : "Clustering model for machine learning",
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"file" : "m_ml/Clustering",
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"apps" : {
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"color": 1,
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"icon": "apps/apps_model.svg"
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"color": 6,
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"icon": "apps/apps_clustering.svg"
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}
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},
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{
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"id" : "ml_dimensionReduction",
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"type" : "function",
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"level": 1,
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"name" : "Dimension Reduction",
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"name" : "Dimension",
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"tag" : "DIMENSION REDUCTION,MODEL,MACHINE LEARNING,ML",
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"path" : "visualpython - machine_learning - dimension_reduction",
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"desc" : "Dimension reduction model for machine learning",
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"file" : "m_ml/DimensionReduction",
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"apps" : {
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"color": 1,
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"icon": "apps/apps_model.svg"
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"color": 6,
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"icon": "apps/apps_dimension.svg"
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}
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},
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{
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"desc" : "AutoML model for machine learning",
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"file" : "m_ml/AutoML",
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"apps" : {
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"color": 1,
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"icon": "apps/apps_model.svg"
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"color": 6,
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"icon": "apps/apps_automl.svg"
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}
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},
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{
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"desc" : "Performance evaluation for machine learning",
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"file" : "m_ml/evaluation",
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"apps" : {
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"color": 1,
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"color": 7,
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"icon": "apps/apps_evaluate.svg"
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}
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}

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