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author | Sonja Galovic <galovicsonja@gmail.com> | 2022-05-06 21:46:36 +0200 |
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committer | Sonja Galovic <galovicsonja@gmail.com> | 2022-05-06 21:46:36 +0200 |
commit | 21fb702db98de85a75ce1abda898b89968aef91d (patch) | |
tree | 4b9f9aa65339fb581ededc844107fb8107c39e05 /backend/microservice/api/controller.py | |
parent | 802634b0d74232a20db63d22e7003c9148baaba3 (diff) | |
parent | 4578d218ba7caeb27277041db37a0601ebcefef0 (diff) |
Merge branch 'redesign' of http://gitlab.pmf.kg.ac.rs/igrannonica/neuronstellar into redesign
Diffstat (limited to 'backend/microservice/api/controller.py')
-rw-r--r-- | backend/microservice/api/controller.py | 23 |
1 files changed, 19 insertions, 4 deletions
diff --git a/backend/microservice/api/controller.py b/backend/microservice/api/controller.py index 988ad987..8d49fcc4 100644 --- a/backend/microservice/api/controller.py +++ b/backend/microservice/api/controller.py @@ -54,12 +54,20 @@ class train_callback(tf.keras.callbacks.Callback): @app.route('/train', methods = ['POST']) def train(): print("******************************TRAIN*************************************************") - - f = request.files.get("file") - data = pd.read_csv(f) paramsModel = json.loads(request.form["model"]) paramsExperiment = json.loads(request.form["experiment"]) paramsDataset = json.loads(request.form["dataset"]) + f = request.files.get("file") + if(paramsDataset['delimiter']=='novi red'): + separation='\n' + + elif(paramsDataset['delimiter']=='razmak'): + separation=' ' + else: + separation=paramsDataset['delimiter'] + data = pd.read_csv(f,sep=separation) + + #dataset, paramsModel, paramsExperiment, callback) filepath,result = newmlservice.train(data, paramsModel, paramsExperiment,paramsDataset, train_callback) """ @@ -110,7 +118,14 @@ def returnColumnsInfo(): dataset = json.loads(request.form["dataset"]) file = request.files.get("file") - data=pd.read_csv(file) + if(dataset['delimiter']=='novi red'): + separation='\n' + + elif(dataset['delimiter']=='razmak'): + separation=' ' + else: + separation=dataset['delimiter'] + data=pd.read_csv(file,sep=separation) ''' #f = request.json['filepath'] #data=pd.read_csv(f) |