anomaly_detection:使用mxnet和scikit learn在NAB数据集中进行异常检测源码

entertaining_1475 36 0 ZIP 2021-02-16 16:02:55

anomaly_detection:使用mxnet和scikit-learn在NAB数据集中进行异常检测

文件列表

anomaly_detection-master.zip (预估有个62文件)

anomaly_detection-master

anomaly_AWS.ipynb 542KB

README.md 207B

data

realAdExchange

exchange-2_cpm_results.csv 57KB

exchange-3_cpm_results.csv 54KB

exchange-4_cpc_results.csv 59KB

exchange-4_cpm_results.csv 58KB

exchange-2_cpc_results.csv 58KB

exchange-3_cpc_results.csv 54KB

realAWSCloudwatch

grok_asg_anomaly.csv 128KB

ec2_cpu_utilization_24ae8d.csv 103KB

iio_us-east-1_i-a2eb1cd9_NetworkIn.csv 36KB

ec2_network_in_257a54.csv 114KB

rds_cpu_utilization_cc0c53.csv 115KB

ec2_cpu_utilization_5f5533.csv 116KB

ec2_disk_write_bytes_1ef3de.csv 114KB

ec2_cpu_utilization_825cc2.csv 111KB

ec2_network_in_5abac7.csv 118KB

ec2_cpu_utilization_fe7f93.csv 113KB

ec2_disk_write_bytes_c0d644.csv 99KB

elb_request_count_8c0756.csv 99KB

ec2_cpu_utilization_ac20cd.csv 114KB

ec2_cpu_utilization_53ea38.csv 113KB

ec2_cpu_utilization_77c1ca.csv 104KB

ec2_cpu_utilization_c6585a.csv 103KB

rds_cpu_utilization_e47b3b.csv 111KB

realTweets

Twitter_volume_FB.csv 351KB

Twitter_volume_CVS.csv 341KB

Twitter_volume_KO.csv 347KB

Twitter_volume_AAPL.csv 359KB

Twitter_volume_GOOG.csv 353KB

Twitter_volume_UPS.csv 342KB

Twitter_volume_CRM.csv 343KB

Twitter_volume_AMZN.csv 356KB

Twitter_volume_PFE.csv 341KB

Twitter_volume_IBM.csv 343KB

artificialWithAnomaly

art_increase_spike_density.csv 95KB

art_daily_nojump.csv 137KB

art_daily_jumpsdown.csv 138KB

art_daily_jumpsup.csv 137KB

art_load_balancer_spikes.csv 99KB

art_daily_flatmiddle.csv 137KB

README.md 3KB

realKnownCause

nyc_taxi.csv 260KB

rogue_agent_key_updown.csv 135KB

rogue_agent_key_hold.csv 54KB

cpu_utilization_asg_misconfiguration.csv 527KB

ec2_request_latency_system_failure.csv 121KB

ambient_temperature_system_failure.csv 228KB

machine_temperature_system_failure.csv 715KB

artificialNoAnomaly

art_noisy.csv 138KB

art_flatline.csv 98KB

art_daily_small_noise.csv 137KB

art_daily_perfect_square_wave.csv 98KB

art_daily_no_noise.csv 114KB

realTraffic

occupancy_6005.csv 58KB

speed_7578.csv 25KB

speed_6005.csv 56KB

TravelTime_451.csv 51KB

TravelTime_387.csv 58KB

occupancy_t4013.csv 61KB

speed_t4013.csv 56KB

.gitignore 29B

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anomaly_detection:使用mxnet和scikit learn在NAB数据集中进行异常检测 源码

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anomaly_detection:使用mxnet和scikit learn在NAB数据集中进行异常检测源码