add NAB dataset

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5 years ago · 0f88581004
--- a/datasets/NAB/add_label.py
+++ b/datasets/NAB/add_label.py
@@ -16,5 +16,5 @@ for key in label_info.keys():
        else:
            label.append('0')
    df['label'] = label
    df.to_csv(fpath+"/labeled_"+fname)
    df.to_csv(fpath+"/labeled_"+fname, index=False)

--- a/datasets/NAB/artificialNoAnomaly/labeled_art_daily_no_noise.csv
+++ b/datasets/NAB/artificialNoAnomaly/labeled_art_daily_no_noise.csv
--- a/datasets/NAB/artificialNoAnomaly/labeled_art_daily_perfect_square_wave.csv
+++ b/datasets/NAB/artificialNoAnomaly/labeled_art_daily_perfect_square_wave.csv
--- a/datasets/NAB/artificialNoAnomaly/labeled_art_daily_small_noise.csv
+++ b/datasets/NAB/artificialNoAnomaly/labeled_art_daily_small_noise.csv
--- a/datasets/NAB/artificialNoAnomaly/labeled_art_flatline.csv
+++ b/datasets/NAB/artificialNoAnomaly/labeled_art_flatline.csv
--- a/datasets/NAB/artificialNoAnomaly/labeled_art_noisy.csv
+++ b/datasets/NAB/artificialNoAnomaly/labeled_art_noisy.csv
--- a/datasets/NAB/artificialWithAnomaly/labeled_art_daily_flatmiddle.csv
+++ b/datasets/NAB/artificialWithAnomaly/labeled_art_daily_flatmiddle.csv
--- a/datasets/NAB/artificialWithAnomaly/labeled_art_daily_jumpsdown.csv
+++ b/datasets/NAB/artificialWithAnomaly/labeled_art_daily_jumpsdown.csv
--- a/datasets/NAB/artificialWithAnomaly/labeled_art_daily_jumpsup.csv
+++ b/datasets/NAB/artificialWithAnomaly/labeled_art_daily_jumpsup.csv
--- a/datasets/NAB/artificialWithAnomaly/labeled_art_daily_nojump.csv
+++ b/datasets/NAB/artificialWithAnomaly/labeled_art_daily_nojump.csv
--- a/datasets/NAB/artificialWithAnomaly/labeled_art_increase_spike_density.csv
+++ b/datasets/NAB/artificialWithAnomaly/labeled_art_increase_spike_density.csv
--- a/datasets/NAB/artificialWithAnomaly/labeled_art_load_balancer_spikes.csv
+++ b/datasets/NAB/artificialWithAnomaly/labeled_art_load_balancer_spikes.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_24ae8d.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_24ae8d.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_53ea38.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_53ea38.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_5f5533.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_5f5533.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_77c1ca.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_77c1ca.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_825cc2.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_825cc2.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_ac20cd.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_ac20cd.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_c6585a.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_c6585a.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_fe7f93.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_cpu_utilization_fe7f93.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_disk_write_bytes_1ef3de.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_disk_write_bytes_1ef3de.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_disk_write_bytes_c0d644.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_disk_write_bytes_c0d644.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_network_in_257a54.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_network_in_257a54.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_ec2_network_in_5abac7.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_ec2_network_in_5abac7.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_elb_request_count_8c0756.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_elb_request_count_8c0756.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_grok_asg_anomaly.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_grok_asg_anomaly.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_iio_us-east-1_i-a2eb1cd9_NetworkIn.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_iio_us-east-1_i-a2eb1cd9_NetworkIn.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_rds_cpu_utilization_cc0c53.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_rds_cpu_utilization_cc0c53.csv
--- a/datasets/NAB/realAWSCloudwatch/labeled_rds_cpu_utilization_e47b3b.csv
+++ b/datasets/NAB/realAWSCloudwatch/labeled_rds_cpu_utilization_e47b3b.csv
--- a/datasets/NAB/realAdExchange/labeled_exchange-2_cpc_results.csv
+++ b/datasets/NAB/realAdExchange/labeled_exchange-2_cpc_results.csv
--- a/datasets/NAB/realAdExchange/labeled_exchange-2_cpm_results.csv
+++ b/datasets/NAB/realAdExchange/labeled_exchange-2_cpm_results.csv
--- a/datasets/NAB/realAdExchange/labeled_exchange-3_cpc_results.csv
+++ b/datasets/NAB/realAdExchange/labeled_exchange-3_cpc_results.csv
--- a/datasets/NAB/realAdExchange/labeled_exchange-3_cpm_results.csv
+++ b/datasets/NAB/realAdExchange/labeled_exchange-3_cpm_results.csv
--- a/datasets/NAB/realAdExchange/labeled_exchange-4_cpc_results.csv
+++ b/datasets/NAB/realAdExchange/labeled_exchange-4_cpc_results.csv
--- a/datasets/NAB/realAdExchange/labeled_exchange-4_cpm_results.csv
+++ b/datasets/NAB/realAdExchange/labeled_exchange-4_cpm_results.csv
--- a/datasets/NAB/realKnownCause/labeled_ambient_temperature_system_failure.csv
+++ b/datasets/NAB/realKnownCause/labeled_ambient_temperature_system_failure.csv
--- a/datasets/NAB/realKnownCause/labeled_ambient_temperature_system_failure.csv.REMOVED.git-id
+++ b/datasets/NAB/realKnownCause/labeled_ambient_temperature_system_failure.csv.REMOVED.git-id
@@ -1 +0,0 @@
 49b3ed29808987b19c9a17d47838d7fd21a64290
--- a/datasets/NAB/realKnownCause/labeled_cpu_utilization_asg_misconfiguration.csv.REMOVED.git-id
+++ b/datasets/NAB/realKnownCause/labeled_cpu_utilization_asg_misconfiguration.csv.REMOVED.git-id
@@ -1 +1 @@
 35256ed33e1a2c8b0c4abfbf924bb6f009c932a3
 6b0bc2aa98d9bd1769aded1842269293ecdbf46c
--- a/datasets/NAB/realKnownCause/labeled_ec2_request_latency_system_failure.csv
+++ b/datasets/NAB/realKnownCause/labeled_ec2_request_latency_system_failure.csv
--- a/datasets/NAB/realKnownCause/labeled_machine_temperature_system_failure.csv.REMOVED.git-id
+++ b/datasets/NAB/realKnownCause/labeled_machine_temperature_system_failure.csv.REMOVED.git-id
@@ -1 +1 @@
 26eb88e5a373bbda063203bf28b818eaba168f29
 4e6e62763fb4d8a5c8ca35981b7af97c9ce88fbc
--- a/datasets/NAB/realKnownCause/labeled_nyc_taxi.csv.REMOVED.git-id
+++ b/datasets/NAB/realKnownCause/labeled_nyc_taxi.csv.REMOVED.git-id
@@ -1 +1 @@
 eeb114c5c4471f4089ac206800eaa2330119dc04
 8d535c4e4624c3e769c603db381cde74ffd1541b
--- a/datasets/NAB/realKnownCause/labeled_rogue_agent_key_hold.csv
+++ b/datasets/NAB/realKnownCause/labeled_rogue_agent_key_hold.csv
--- a/datasets/NAB/realKnownCause/labeled_rogue_agent_key_updown.csv
+++ b/datasets/NAB/realKnownCause/labeled_rogue_agent_key_updown.csv
--- a/datasets/NAB/realTraffic/labeled_TravelTime_387.csv
+++ b/datasets/NAB/realTraffic/labeled_TravelTime_387.csv
--- a/datasets/NAB/realTraffic/labeled_TravelTime_451.csv
+++ b/datasets/NAB/realTraffic/labeled_TravelTime_451.csv
--- a/datasets/NAB/realTraffic/labeled_occupancy_6005.csv
+++ b/datasets/NAB/realTraffic/labeled_occupancy_6005.csv
--- a/datasets/NAB/realTraffic/labeled_occupancy_t4013.csv
+++ b/datasets/NAB/realTraffic/labeled_occupancy_t4013.csv
--- a/datasets/NAB/realTraffic/labeled_speed_6005.csv
+++ b/datasets/NAB/realTraffic/labeled_speed_6005.csv
--- a/datasets/NAB/realTraffic/labeled_speed_7578.csv
+++ b/datasets/NAB/realTraffic/labeled_speed_7578.csv
--- a/datasets/NAB/realTraffic/labeled_speed_t4013.csv
+++ b/datasets/NAB/realTraffic/labeled_speed_t4013.csv
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_AAPL.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_AAPL.csv.REMOVED.git-id
@@ -1 +1 @@
 2d91a1145560d6f2ba78653857e4c365b849af48
 0edff7c15786fd853fe6ad350c614242f5b2871b
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_AMZN.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_AMZN.csv.REMOVED.git-id
@@ -1 +1 @@
 6bd82e25bc77b7c2d239e35fe3292418b7f7f2f6
 8cb8dcfaa5c9c855e7c6d4f059838e20284d6dbc
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_CRM.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_CRM.csv.REMOVED.git-id
@@ -1 +1 @@
 10197fd0d3ae336cc3af7b73c2b8172925878a81
 f813962b33568d076285707a60cbfec7b0daa864
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_CVS.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_CVS.csv.REMOVED.git-id
@@ -1 +1 @@
 a2bbcaeffe42bb34694e005021c137a501f42fa4
 5a221a242b60a8ff302a6bf174ab05b7661a1dfd
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_FB.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_FB.csv.REMOVED.git-id
@@ -1 +1 @@
 207e1632a8e355fb2622f090d19aa0bbc8b46f3d
 da6e1f36aeba57d81340b3e468a64eca017561f0
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_GOOG.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_GOOG.csv.REMOVED.git-id
@@ -1 +1 @@
 b1ceb02a500f874bb83fff57c0343800b5f8d598
 a2b7ee363323c1583a38fc604425281d0a32e90a
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_IBM.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_IBM.csv.REMOVED.git-id
@@ -1 +1 @@
 ba0a753fc1e7b9031debc24bbe2ba4f8659a9992
 4c504cb93885a3d759c308d39833af0cb72586b8
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_KO.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_KO.csv.REMOVED.git-id
@@ -1 +1 @@
 1641472acea894a40c5ec95ad7cc329719d6cfc7
 3e208a1d5a72f93d3105599578918e51f07a31f1
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_PFE.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_PFE.csv.REMOVED.git-id
@@ -1 +1 @@
 46cf6c9d1c2b44f537641a6401824da570ad8986
 3147689c7a7ae3b0b05a5ee2de699f754e8973e9
--- a/datasets/NAB/realTweets/labeled_Twitter_volume_UPS.csv.REMOVED.git-id
+++ b/datasets/NAB/realTweets/labeled_Twitter_volume_UPS.csv.REMOVED.git-id
@@ -1 +1 @@
 e0ea87c58b01bd07d9763dc49288a9ce17e20a0a
 3e4904fb5fa4e4c0b86fc67f1700b94786f376f5
--- a/examples/run_automl.py
+++ b/examples/run_automl.py
@@ -18,8 +18,6 @@ metric = 'F1_MACRO' # F1 on both label 0 and 1

 # Read data and generate dataset and problem
 df = pd.read_csv(table_path)
 print(df[4])
 exit()
 dataset, problem_description = generate_dataset_problem(df, target_index=target_index, metric=metric)

 # Start backend