mirror of https://github.com/VLSIDA/OpenRAM.git
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
import os
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import sys
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util_dir = "gen_model_util"
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cur_dir = os.path.dirname(os.path.realpath(__file__))
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sys.path.insert(1, cur_dir+'/'+util_dir)
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import mapping
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import linreg_scikit
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#import keras_models
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train_sets = []
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test_sets = []
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filename = "delays.csv"
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reference_dir = "data"
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file_path = reference_dir +'/'+filename
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num_points_train = 7
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mp = mapping.mapping()
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non_ip_samples, unused_samples = mp.sample_from_file(num_points_train, file_path, reference_dir)
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nip_features_subset, nip_labels_subset = non_ip_samples[:, :-1], non_ip_samples[:,-1:]
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nip_test_feature_subset, nip_test_labels_subset = unused_samples[:, :-1], unused_samples[:,-1:]
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train_sets = [(nip_features_subset, nip_labels_subset)]
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test_sets = [(nip_test_feature_subset, nip_test_labels_subset)]
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runs_per_model = 1
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for train_tuple, test_tuple in zip(train_sets, test_sets):
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train_x, train_y = train_tuple
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test_x, test_y = test_tuple
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errors = {}
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min_train_set = None
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for _ in range(runs_per_model):
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#new_error = lr_scikit.run_model(train_x, train_y, test_x, test_y)
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new_error = keras_models.run_model(train_x, train_y, test_x, test_y)
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print(new_error) |