Add first version of Vega ROC plots #77
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| # A directory for creating Vega based visualizations | ||
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| In order to run these sample files, you should first start up a simple HTTP server such as: | ||
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| ```sh | ||
| python -m SimpleHTTPServer 8000 | ||
| ``` | ||
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| Then navigate to that instance (localhost:8000) and click on the file that you wish to view. | ||
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| false_positive,true_positive,curve,data | ||
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There was a problem hiding this comment. May want to add There was a problem hiding this comment. Can we make the column names more descriptive:
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| 0.5,0.99,train,full features | ||
| 0.39,0.97,train,full features | ||
| 0.2,0.83,train,full features | ||
| 0.1,0.6,train,full features | ||
| 0.05,0.4,train,full features | ||
| 0.02,0.2,train,full features | ||
| 0.5,0.97,test,full features | ||
| 0.39,0.93,test,full features | ||
| 0.2,0.8,test,full features | ||
| 0.1,0.56,test,full features | ||
| 0.05,0.36,test,full features | ||
| 0.02,0.17,test,full features | ||
| 0.55,0.891,train,covariates only | ||
| 0.429,0.873,train,covariates only | ||
| 0.22,0.747,train,covariates only | ||
| 0.11,0.54,train,covariates only | ||
| 0.055,0.36,train,covariates only | ||
| 0.022,0.18,train,covariates only | ||
| 0.55,0.873,test,covariates only | ||
| 0.429,0.837,test,covariates only | ||
| 0.22,0.72,test,covariates only | ||
| 0.11,0.504,test,covariates only | ||
| 0.055,0.324,test,covariates only | ||
| 0.022,0.153,test,covariates only | ||
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| <head> | ||
| <title>ROC Curves</title> | ||
| <meta charset="utf-8"> | ||
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| <!-- TODO --> | ||
| <!-- Install with npm install vega --> | ||
| <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js" charset="utf-8"></script> | ||
| <script src="https://cdnjs.cloudflare.com/ajax/libs/vega/2.6.5/vega.min.js" charset="utf-8"></script> | ||
| <script src="https://cdnjs.cloudflare.com/ajax/libs/vega-lite/1.3.1/vega-lite.min.js" charset="utf-8"></script> | ||
| <script src="https://cdnjs.cloudflare.com/ajax/libs/vega-embed/2.2.0/vega-embed.min.js" charset="utf-8"></script> | ||
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| <style media="screen"> | ||
| /* Add space between vega-embed links */ | ||
| .vega-actions a { | ||
| margin-right: 5px; | ||
| } | ||
| </style> | ||
| </head> | ||
| <body> | ||
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| <h1>ROC Sample</h1> | ||
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| <div id="roc_plot"></div> | ||
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| <script> | ||
| var vSpec ={ | ||
| "width": 600, | ||
| "height": 400, | ||
| "padding": {"top": 10, "left": 70, "bottom": 60, "right": 150}, | ||
| "data": [ | ||
| { | ||
| "name": "roc", | ||
| "url": "data/sample_roc_data.csv", | ||
| "format": {"type": "csv"}, | ||
| "transform": [{"type": "formula", "field": "legend", "expr": "datum.curve + ' (' + datum.data + ')'"}] | ||
| } | ||
| ], | ||
| "scales": [ | ||
| { | ||
| "name": "xscale", | ||
| "type": "linear", | ||
| "domain": {"data": "roc", "field": "false_positive"}, | ||
| "range": "width", | ||
| "zero": "true", | ||
| "round": "true" | ||
| }, | ||
| { | ||
| "name": "yscale", | ||
| "type": "linear", | ||
| "domain": {"data": "roc", "field": "true_positive"}, | ||
| "range": "height", | ||
| "zero": "true", | ||
| "round": "true", | ||
| "nice": "true" | ||
| }, | ||
| { | ||
| "name": "colorscale", | ||
| "type": "ordinal", | ||
| "domain": {"data": "roc", "field": "legend"}, | ||
| //"range": "category10" | ||
| "range": ["#9c9ede","#5254a3","#fdd0a2","#fd8d3c"] | ||
| }/*, | ||
| { | ||
| "name": "dashscale", | ||
| "type": "ordinal", | ||
| "domain": {"data": "roc", "field": "data"}, | ||
| "range": [[5,2]] | ||
| }*/ | ||
| ], | ||
| "axes": [ | ||
| { | ||
| "type": "x", | ||
| "title": "False positive rate", | ||
| "scale": "xscale", | ||
| "grid": "true", | ||
| "layer": "back", | ||
| "format": "%" | ||
| }, | ||
| { | ||
| "type": "y", | ||
| "title": "True positive rate", | ||
| "scale": "yscale", | ||
| "grid": "true", | ||
| "layer": "back", | ||
| "format": "%" | ||
| } | ||
| ], | ||
| "legends": [ | ||
| { | ||
| "title": "curve", | ||
| "fill": "colorscale", | ||
| "orient": "right" | ||
| } | ||
| ], | ||
| "signals": [ | ||
| { | ||
| "name": "hover", | ||
| "init": {}, | ||
| "streams": [ | ||
| {"type": "symbol:mouseover","expr": "datum"}, | ||
| {"type": "symbol:mouseout","expr": "{}"} | ||
| ] | ||
| } | ||
| ], | ||
| "predicates": [ | ||
| { | ||
| "name": "ifHover", | ||
| "type": "==", | ||
| "operands": [{"signal": "hover._id"},{"arg": "id"}] | ||
| } | ||
| ], | ||
| "marks": [ | ||
| { | ||
| "type": "group", | ||
| "from": { | ||
| "data": "roc", | ||
| "transform": [{"type": "facet", "groupby": "legend"}] | ||
| }, | ||
| "marks": [ | ||
| { | ||
| "type": "line", | ||
| "properties": { | ||
| "update": { | ||
| "x": {"scale": "xscale","field": "false_positive"}, | ||
| "y": {"scale": "yscale","field": "true_positive"}, | ||
| "stroke": {"scale": "colorscale","field": "legend"}, | ||
| "strokeWidth": {"value": 3}, | ||
| //"strokeDash": {"value": [5,2]} | ||
| //"strokeDash": {"scale": "dashscale", "field": "data"} | ||
| } | ||
| } | ||
| }, | ||
| { | ||
| "type": "symbol", | ||
| "from": {"data": "roc"}, | ||
| "properties": { | ||
| "update": { | ||
| "x": {"scale": "xscale","field": "false_positive"}, | ||
| "y": {"scale": "yscale","field": "true_positive"}, | ||
| "fill": {"scale": "colorscale","field": "legend"}, | ||
| "stroke": {"scale": "colorscale","field": "legend"}, | ||
| "size": {"value": 20} | ||
| } | ||
| } | ||
| }, | ||
| { | ||
| "type": "group", | ||
| "from": { | ||
| "data": "roc", | ||
| "transform": [{"type": "facet","groupby": "legend"}] | ||
| }, | ||
| "properties": { | ||
| "update": { | ||
| "x": { | ||
| "scale": "xscale", | ||
| "signal": "hover.false_positive", | ||
| "offset": 2 | ||
| }, | ||
| "y": { | ||
| "scale": "yscale", | ||
| "signal": "hover.true_positive", | ||
| "offset": 15 | ||
| }, | ||
| "width": {"value": 130}, | ||
| "height": {"value": 50}, | ||
| "strokeWidth": {"value": 0.5}, | ||
| "fill": { | ||
| "rule": [ | ||
| { | ||
| "predicate": { | ||
| "name": "ifHover", | ||
| "id": {"value": null} | ||
| }, | ||
| "value": null | ||
| }, | ||
| {"value": "white"} | ||
| ] | ||
| }, | ||
| "stroke": { | ||
| "rule": [ | ||
| { | ||
| "predicate": { | ||
| "name": "ifHover", | ||
| "id": {"value": null} | ||
| }, | ||
| "value": null | ||
| }, | ||
| {"value": "black"} | ||
| ] | ||
| } | ||
| } | ||
| }, | ||
| "marks": [ | ||
| { | ||
| "type": "text", | ||
| "properties": { | ||
| "update": { | ||
| "x": {"value": 6}, | ||
| "y": {"value": 13}, | ||
| "fontWeight": {"value": "bold"}, | ||
| "text": { | ||
| "template": "{{hover.legend}}" | ||
| }, | ||
| "fill": { | ||
| "rule": [ | ||
| { | ||
| "predicate": { | ||
| "name": "ifHover", | ||
| "id": {"value": null} | ||
| }, | ||
| "value": null | ||
| }, | ||
| {"value": "black"} | ||
| ] | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| { | ||
| "type": "text", | ||
| "properties": { | ||
| "update": { | ||
| "x": {"value": 6}, | ||
| "y": {"value": 28}, | ||
| "text": { | ||
| "template": "True positive: {{hover.true_positive}}" | ||
| }, | ||
| "fill": { | ||
| "rule": [ | ||
| { | ||
| "predicate": { | ||
| "name": "ifHover", | ||
| "id": {"value": null} | ||
| }, | ||
| "value": null | ||
| }, | ||
| {"value": "black"} | ||
| ] | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| { | ||
| "type": "text", | ||
| "properties": { | ||
| "update": { | ||
| "x": {"value": 6}, | ||
| "y": {"value": 43}, | ||
| "text": { | ||
| "template": "False positive: {{hover.false_positive}}" | ||
| }, | ||
| "fill": { | ||
| "rule": [ | ||
| { | ||
| "predicate": { | ||
| "name": "ifHover", | ||
| "id": {"value": null} | ||
| }, | ||
| "value": null | ||
| }, | ||
| {"value": "black"} | ||
| ] | ||
| } | ||
| } | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| } | ||
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| var embedSpec = { | ||
| mode: "vega", | ||
| spec: vSpec, | ||
| actions: false | ||
| }; | ||
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| vg.embed("#roc_plot", embedSpec, function(error, result) { | ||
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| }); | ||
| </script> | ||
| </body> | ||
| </html> |
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Note that this repository's environment uses Python 3.
In Python 3, I think this should be:
Feel free to include both commands, if you'd like.
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Ah, I'll fix that.