Matthew Mayo mmmayo13
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| print mldb.put('/v1/functions/fetch', { | |
| "type": 'fetcher', | |
| "params": {} | |
| }) | |
| print mldb.put('/v1/functions/inception', { | |
| "type": 'tensorflow.graph', | |
| "params": { | |
| "modelFileUrl": 'archive+'+ | |
| 'http://public.mldb.ai/models/inception_dec_2015.zip'+ |
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| kdNuggets = "http://www.skytree.net/wp-content/uploads/2014/08/KDnuggets.jpg" | |
| mldb.query("SELECT inception({url: '%s'}) as *" % kdNuggets) |
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| print mldb.post("/v1/procedures", { | |
| "type": "import.text", | |
| "params": { | |
| "dataFileUrl": "https://public.mldb.ai/datasets/car_brand_images/cars_urls.csv", | |
| "outputDataset": "images" | |
| } | |
| }) | |
| mldb.query("SELECT * FROM images LIMIT 3") |
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| mldb.query("SELECT count(*) FROM images GROUP BY brand") |
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| print mldb.post("/v1/procedures", { | |
| "type": "transform", | |
| "params": { | |
| "inputData": """ | |
| SELECT brand, | |
| inception({url}) as * | |
| FROM images | |
| """, | |
| "outputDataset": "training_dataset" | |
| } |
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| rez = mldb.post("/v1/procedures", { | |
| "type": "classifier.experiment", | |
| "params": { | |
| "experimentName": "car_brand_cls", | |
| "inputData": """ | |
| SELECT | |
| {* EXCLUDING(brand)} as features, | |
| brand as label | |
| FROM training_dataset | |
| """, |
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| pd.DataFrame(runResults["confusionMatrix"])\ | |
| .pivot_table(index="actual", columns="predicted", fill_value=0) |
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| pd.DataFrame.from_dict(runResults["labelStatistics"]).transpose() |
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| print mldb.put("/v1/functions/brand_predictor", { | |
| "type": "sql.expression", | |
| "params": { | |
| "expression": """ | |
| car_brand_cls_scorer_0( | |
| { | |
| features: inception({url}) | |
| }) as * | |
| """ | |
| } |
mmmayo13
/ mldb-10.py
Created
October 14, 2016 13:05
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| mldb.get("/v1/functions/brand_predictor/application", | |
| data={'input': | |
| {'url': 'http://insideevs.com/wp-content/uploads/2016/03/JL82776-750x500.jpg'}}) |
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