[2022/12/18-12:06:36.145] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.prediction] - ****************************************** [2022/12/18-12:06:36.145] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.prediction] - ** Start train session s1 [2022/12/18-12:06:36.145] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.prediction] - ****************************************** [2022/12/18-12:06:36.154] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.shaker.data] T-A4cPFkTb - [ct: 9] Need to compute sampleId before checking memory cache [2022/12/18-12:06:36.154] [FT-TrainWorkThread-ZNal8U34-8233] [DEBUG] [dip.shaker.runner] T-A4cPFkTb - [ct: 9] Script settings sampleMax=104857600 processedMax=-1 [2022/12/18-12:06:36.154] [FT-TrainWorkThread-ZNal8U34-8233] [DEBUG] [dip.shaker.runner] T-A4cPFkTb - [ct: 9] Processing with sampleMax=104857600 processedMax=524288000 [2022/12/18-12:06:36.155] [FT-TrainWorkThread-ZNal8U34-8233] [DEBUG] [dip.shaker.runner] T-A4cPFkTb - [ct: 10] Computed required sample id : da38d04016d4764c8e63d0ea8acfed03-NA-ac2e0aa81c1215a34ba9f85052ba5ff73--d751713988987e9331980363e24189ce [2022/12/18-12:06:36.155] [FT-TrainWorkThread-ZNal8U34-8233] [DEBUG] [dku.shaker.cache] T-A4cPFkTb - Shaker MemoryCache get on dataset DKU_TUTORIAL_TIME_SERIES_PREPARATION.orders_by_date key=ds=311f032436b3785ae231862e0087eb66--scr=248a2c333fb9a80fb52c27bd915071db--samp=da38d04016d4764c8e63d0ea8acfed03-NA-ac2e0aa81c1215a34ba9f85052ba5ff73--d751713988987e9331980363e24189ce: hit [2022/12/18-12:06:36.156] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.shaker.schema] T-A4cPFkTb - [ct: 11] Column order_date meaning=Date fail=0 [2022/12/18-12:06:36.156] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.shaker.schema] T-A4cPFkTb - [ct: 11] Column tshirt_category meaning=Text fail=0 [2022/12/18-12:06:36.156] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.shaker.schema] T-A4cPFkTb - [ct: 11] Column tshirt_quantity meaning=LongMeaning fail=0 [2022/12/18-12:06:36.156] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.shaker.schema] T-A4cPFkTb - [ct: 11] Column amount_spent meaning=DoubleMeaning fail=0 [2022/12/18-12:06:36.158] [FT-TrainWorkThread-ZNal8U34-8233] [WARN] [dku.ml.prediction.split] T-A4cPFkTb - Sorted train/test split: ordering column "order_date" is not numeric [2022/12/18-12:06:36.158] [Thread-3812] [INFO] [dku.datasets.pull] - pull background thread starting for orders_by_date [2022/12/18-12:06:36.159] [Thread-3812] [INFO] [dku.datasets.file] - Building Filesystem handler config: {"path":"/home/hisashi/DATA_DIR/uploads/DKU_TUTORIAL_TIME_SERIES_PREPARATION/datasets/orders_by_date","notReadyIfEmpty":false,"filesSelectionRules":{"mode":"ALL","excludeRules":[],"includeRules":[],"explicitFiles":[]}} [2022/12/18-12:06:36.160] [Thread-3812] [INFO] [dku.datasets.ftplike] - Enumerating Filesystem dataset prefix= [2022/12/18-12:06:36.160] [Thread-3812] [DEBUG] [dku.datasets.fsbased] - Building FS provider for dataset handler: DKU_TUTORIAL_TIME_SERIES_PREPARATION.orders_by_date [2022/12/18-12:06:36.160] [Thread-3812] [DEBUG] [dku.datasets.fsbased] - FS Provider built [2022/12/18-12:06:36.161] [Thread-3812] [DEBUG] [dku.fs.local] - Enumerating local filesystem prefix=/ [2022/12/18-12:06:36.161] [Thread-3812] [DEBUG] [dku.fs.local] - Enumeration done nb_paths=1 size=348699 [2022/12/18-12:06:36.161] [Thread-3812] [INFO] [dku.input.push] - USTP: push selection.method=HEAD_SEQUENTIAL records=100000 ratio=0.02 col=null [2022/12/18-12:06:36.162] [Thread-3812] [INFO] [dku.format] - Extractor run: limit={"maxBytes":-1,"maxRecords":100000,"ordering":{"enabled":false,"rules":[]}} totalRecords=0 [2022/12/18-12:06:36.162] [Thread-3812] [INFO] [dku] - getCompression filename=**orders_by_date.csv** [2022/12/18-12:06:36.162] [Thread-3812] [INFO] [dku] - getCompression filename=**orders_by_date.csv** [2022/12/18-12:06:36.162] [Thread-3812] [INFO] [dku.format] - Start uncompressed stream: /home/hisashi/DATA_DIR/uploads/DKU_TUTORIAL_TIME_SERIES_PREPARATION/datasets/orders_by_date/orders_by_date.csv / totalRecsBefore=0 [2022/12/18-12:06:36.163] [Thread-3812] [INFO] [dku] - getCompression filename=**orders_by_date.csv** [2022/12/18-12:06:36.229] [Thread-3812] [INFO] [dku.format] - after stream totalComp=348699 totalUncomp=348699 totalRec=7427 [2022/12/18-12:06:36.229] [Thread-3812] [INFO] [dku.format] - Extractor run done, totalCompressed=348699 totalRecords=7427 [2022/12/18-12:06:36.229] [Thread-3812] [DEBUG] [dku.datasets.pull] - pull background thread: ending queue, cursize=0 [2022/12/18-12:06:36.229] [Thread-3812] [INFO] [dku.datasets.pull] - pull background thread finished for orders_by_date [2022/12/18-12:06:36.229] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.datasets.pull] T-A4cPFkTb - End of stream reached [2022/12/18-12:06:36.230] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dip.sorter.chunk] T-A4cPFkTb - Spilling chunk. used=2420350 [2022/12/18-12:06:36.273] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.ml.prediction.split] T-A4cPFkTb - [ct: 128] Sorted train/test split: threshold = 2017-04-13T00:00:00.000Z [2022/12/18-12:06:36.275] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.splits] T-A4cPFkTb - [ct: 130] Checking if splits are up to date. Policy: type=SPLIT_SINGLE_DATASET,split=SORTED,splitBeforePrepare=true,ds=orders_by_date,sel=(method=head-s,records=100000),streamAll=true,c=order_date,ascending=true, instance id: 489fa455b4bdfec62a2ca02039e46b9d-0 [2022/12/18-12:06:36.275] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.splits] T-A4cPFkTb - [ct: 130] Search for split: p=type=SPLIT_SINGLE_DATASET,split=SORTED,splitBeforePrepare=true,ds=orders_by_date,sel=(method=head-s,records=100000),streamAll=true,c=order_date,ascending=true i=489fa455b4bdfec62a2ca02039e46b9d-0 [2022/12/18-12:06:36.276] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.splits] T-A4cPFkTb - [ct: 131] Search for split: p=type=SPLIT_SINGLE_DATASET,split=SORTED,splitBeforePrepare=true,ds=orders_by_date,sel=(method=head-s,records=100000),streamAll=true,c=order_date,ascending=true i=489fa455b4bdfec62a2ca02039e46b9d-0 [2022/12/18-12:06:36.277] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.splits] T-A4cPFkTb - [ct: 132] Checking if splits are up to date. Policy: type=SPLIT_SINGLE_DATASET,split=SORTED,splitBeforePrepare=true,ds=orders_by_date,sel=(method=head-s,records=100000),streamAll=true,c=order_date,ascending=true, instance id: 489fa455b4bdfec62a2ca02039e46b9d-0 [2022/12/18-12:06:36.277] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.splits] T-A4cPFkTb - [ct: 132] Search for split: p=type=SPLIT_SINGLE_DATASET,split=SORTED,splitBeforePrepare=true,ds=orders_by_date,sel=(method=head-s,records=100000),streamAll=true,c=order_date,ascending=true i=489fa455b4bdfec62a2ca02039e46b9d-0 [2022/12/18-12:06:36.278] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.splits] T-A4cPFkTb - [ct: 133] Search for split: p=type=SPLIT_SINGLE_DATASET,split=SORTED,splitBeforePrepare=true,ds=orders_by_date,sel=(method=head-s,records=100000),streamAll=true,c=order_date,ascending=true i=489fa455b4bdfec62a2ca02039e46b9d-0 [2022/12/18-12:06:36.279] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.ml.python] T-A4cPFkTb - [ct: 134] Joining processing thread ... [2022/12/18-12:06:37.751] [MRT-8235] [INFO] [dku.analysis.ml.python] - Running a preprocessing set: pp3 in /home/hisashi/DATA_DIR/analysis-data/DKU_TUTORIAL_TIME_SERIES_PREPARATION/XK5S4HbR/A4cPFkTb/sessions/s1/pp3 [2022/12/18-12:06:37.751] [MRT-8235] [INFO] [dku.block.link] - Started a socket on port 37681 [2022/12/18-12:06:37.751] [MRT-8235] [INFO] [dku.ml.kernel] - Writing output of python-single-command-kernel to /home/hisashi/DATA_DIR/analysis-data/DKU_TUTORIAL_TIME_SERIES_PREPARATION/XK5S4HbR/A4cPFkTb/sessions/s1/pp3/train.log [2022/12/18-12:06:37.752] [MRT-8235] [INFO] [dku.code.envs.resolution] - Executing Python activity in env: p37 [2022/12/18-12:06:37.752] [MRT-8235] [INFO] [dku.code.projectLibs] - EXTERNAL LIBS FROM DKU_TUTORIAL_TIME_SERIES_PREPARATION is {"gitReferences":{},"pythonPath":["python"],"rsrcPath":["R"],"importLibrariesFromProjects":[]} [2022/12/18-12:06:37.752] [MRT-8235] [INFO] [dku.code.projectLibs] - chunkFolder is /home/hisashi/DATA_DIR/config/projects/DKU_TUTORIAL_TIME_SERIES_PREPARATION/lib/R [2022/12/18-12:06:37.753] [MRT-8235] [INFO] [dku.python.single_command.kernel] - Starting Python process for kernel python-single-command-kernel [2022/12/18-12:06:37.753] [MRT-8235] [INFO] [dip.tickets] - Creating API ticket for analysis-ml-DKU_TUTORIAL_TIME_SERIES_PREPARATION-xWIUqif on behalf of admin id=analysis-ml-DKU_TUTORIAL_TIME_SERIES_PREPARATION-xWIUqif_WRyRfxQ3KdlZ [2022/12/18-12:06:37.753] [MRT-8235] [INFO] [dku.security.process] - Starting process (regular) [2022/12/18-12:06:37.755] [MRT-8235] [INFO] [dku.security.process] - Process started with pid=117434 [2022/12/18-12:06:37.755] [MRT-8235] [INFO] [dku.processes.cgroups] - Will use cgroups [] [2022/12/18-12:06:37.756] [MRT-8235] [INFO] [dku.processes.cgroups] - Applying rules to used cgroups: [] [2022/12/18-12:06:37.768] [KNL-python-single-command-kernel-monitor-8256] [DEBUG] [dku.resourceusage] - Reporting start of CRU:{"context":{"type":"ANALYSIS_ML_TRAIN","authIdentifier":"admin","projectKey":"DKU_TUTORIAL_TIME_SERIES_PREPARATION","analysisId":"XK5S4HbR","mlTaskId":"A4cPFkTb","sessionId":"s1"},"type":"LOCAL_PROCESS","id":"vYrLXRknUUaTXzXm","startTime":1671332797768,"localProcess":{"cpuCurrent":0.0}} [2022/12/18-12:06:37.779] [process-resource-monitor-117434-8260] [DEBUG] [dku.resource] - Process stats for pid 117434: {"pid":117434,"commandName":"/home/hisashi/DATA_DIR/code-envs/python/p37/bin/python","cpuUserTimeMS":20,"cpuSystemTimeMS":0,"cpuChildrenUserTimeMS":0,"cpuChildrenSystemTimeMS":0,"cpuTotalMS":20,"cpuCurrent":0.0,"vmSizeMB":19,"vmRSSMB":9,"vmHWMMB":9,"vmRSSAnonMB":4,"vmDataMB":4,"vmSizePeakMB":19,"vmRSSPeakMB":9,"vmRSSTotalMBS":0,"majorFaults":0,"childrenMajorFaults":0} Installing debugging signal handler [2022-12-18 12:06:38,465] [117434/MainThread] [INFO] [dataiku.base.socket_block_link] Connecting to localhost (127.0.0.1) at port 37681 [2022-12-18 12:06:38,465] [117434/MainThread] [INFO] [dataiku.base.socket_block_link] Connected to localhost (127.0.0.1) at port 37681 [2022/12/18-12:06:38.466] [MRT-8235] [INFO] [dku.link.secret_protected] - Connected to kernel [2022/12/18-12:06:38.467] [MRT-8235] [INFO] [dku.block.link.interaction] - Execute link command respClazz=true respTypeToken=false respIsString=false is=false asyncInputStream=false os=false /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/feature_extraction/image.py:167: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dtype=np.int): /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:35: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:597: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, fit_path=True, /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:836: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, fit_path=True, /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:862: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, positive=False): /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1097: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps, /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1344: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps, /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1480: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, positive=False): /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:152: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations precompute=False, eps=np.finfo(np.float).eps, /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:320: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, random_state=None, /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:580: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=4 * np.finfo(np.float).eps, n_jobs=None, /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/decomposition/online_lda.py:31: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations EPS = np.finfo(np.float).eps /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/sklearn/ensemble/gradient_boosting.py:34: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations from ._gradient_boosting import predict_stages /home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/crossval/strategies/grid_search_strategy.py:6: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working from collections import Mapping [2022-12-18 12:06:38,557] [117434/MainThread] [INFO] [dataiku.doctor.utils.dku_pickle] Setting cloudpickle as the pickling tool /home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/dkuapi.py:16: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec() argspec = inspect.getargspec(api) [2022-12-18 12:06:38,584] [117434/MainThread] [INFO] [root] Running analysis command: train_prediction_timeseries [2022-12-18 12:06:38,639] [117434/MainThread] [INFO] [root] Generating grammar tables from /usr/lib/python3.7/lib2to3/Grammar.txt [2022-12-18 12:06:38,653] [117434/MainThread] [INFO] [root] Generating grammar tables from /usr/lib/python3.7/lib2to3/PatternGrammar.txt /home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/gluonts/json.py:46: UserWarning: Using `json`-module for json-handling. Consider installing one of `orjson`, `ujson` to speed up serialization and deserialization. "Using `json`-module for json-handling. " [2022/12/18-12:06:38.704] [MRT-8235] [INFO] [dku.block.link.interaction] - Check result for nullity exceptionIfNull=true result=null Traceback (most recent call last): File "/home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/server.py", line 46, in serve ret = api_command(arg) File "/home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/dkuapi.py", line 45, in aux return api(**kwargs) File "/home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/commands.py", line 710, in train_prediction_timeseries from dataiku.doctor.timeseries.train.launch_training import launch_training File "/home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/timeseries/train/launch_training.py", line 8, in from dataiku.doctor.timeseries.models import GluonTSAlgorithm File "/home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/timeseries/models/__init__.py", line 10, in from dataiku.doctor.timeseries.models.gluonts.trivial_identity import DkuTrivialIdentityEstimator File "/home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/timeseries/models/gluonts/trivial_identity.py", line 2, in from dataiku.doctor.timeseries.models.gluonts.base_estimator import DkuGluonTSEstimator File "/home/hisashi/dataiku-dss-11.0.1/python/dataiku/doctor/timeseries/models/gluonts/base_estimator.py", line 3, in import mxnet as mx File "/home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/mxnet/__init__.py", line 23, in from .context import Context, current_context, cpu, gpu, cpu_pinned File "/home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/mxnet/context.py", line 23, in from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass File "/home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/mxnet/base.py", line 351, in _LIB = _load_lib() File "/home/hisashi/DATA_DIR/code-envs/python/p37/lib/python3.7/site-packages/mxnet/base.py", line 342, in _load_lib lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL) File "/usr/lib/python3.7/ctypes/__init__.py", line 364, in __init__ self._handle = _dlopen(self._name, mode) OSError: libquadmath.so.0: cannot open shared object file: No such file or directory [2022-12-18 12:06:38,705] [117434/MainThread] [INFO] [dataiku.base.socket_block_link] Client closed [2022/12/18-12:06:38.939] [KNL-python-single-command-kernel-monitor-8256] [INFO] [dku.kernels] - Process done with code 0 [2022/12/18-12:06:38.940] [KNL-python-single-command-kernel-monitor-8256] [INFO] [dip.tickets] - Destroying API ticket for analysis-ml-DKU_TUTORIAL_TIME_SERIES_PREPARATION-xWIUqif on behalf of admin [2022/12/18-12:06:38.944] [KNL-python-single-command-kernel-monitor-8256] [WARN] [dku.resource] - stat file for pid 117434 does not exist. Process died? [2022/12/18-12:06:38.944] [KNL-python-single-command-kernel-monitor-8256] [DEBUG] [dku.resourceusage] - Reporting completion of CRU:{"context":{"type":"ANALYSIS_ML_TRAIN","authIdentifier":"admin","projectKey":"DKU_TUTORIAL_TIME_SERIES_PREPARATION","analysisId":"XK5S4HbR","mlTaskId":"A4cPFkTb","sessionId":"s1"},"type":"LOCAL_PROCESS","id":"vYrLXRknUUaTXzXm","startTime":1671332797768,"localProcess":{"pid":117434,"commandName":"/home/hisashi/DATA_DIR/code-envs/python/p37/bin/python","cpuUserTimeMS":20,"cpuSystemTimeMS":0,"cpuChildrenUserTimeMS":0,"cpuChildrenSystemTimeMS":0,"cpuTotalMS":20,"cpuCurrent":0.0,"vmSizeMB":19,"vmRSSMB":9,"vmHWMMB":9,"vmRSSAnonMB":4,"vmDataMB":4,"vmSizePeakMB":19,"vmRSSPeakMB":9,"vmRSSTotalMBS":0,"majorFaults":0,"childrenMajorFaults":0}} [2022/12/18-12:06:38.944] [MRT-8235] [INFO] [dku.kernels] - Getting kernel tail [2022/12/18-12:06:38.946] [MRT-8235] [INFO] [dku.kernels] - Trying to enrich exception: com.dataiku.dip.io.SocketBlockLinkKernelException: Failed to train : : [Errno None] None: 'None' from kernel com.dataiku.dip.analysis.coreservices.AnalysisMLKernel@7f824b30 process=null pid=?? retcode=0 [2022/12/18-12:06:38.946] [MRT-8235] [WARN] [dku.analysis.ml.python] - Training failed com.dataiku.dip.io.SocketBlockLinkKernelException: Failed to train : : [Errno None] None: 'None' at com.dataiku.dip.io.SocketBlockLinkInteraction.throwExceptionFromPython(SocketBlockLinkInteraction.java:302) at com.dataiku.dip.io.SocketBlockLinkInteraction$AsyncResult.checkException(SocketBlockLinkInteraction.java:215) at com.dataiku.dip.io.SocketBlockLinkInteraction$AsyncResult.get(SocketBlockLinkInteraction.java:190) at com.dataiku.dip.io.SingleCommandKernelLink$1.call(SingleCommandKernelLink.java:211) at com.dataiku.dip.analysis.ml.prediction.PredictionTrainAdditionalThread.process(PredictionTrainAdditionalThread.java:75) at com.dataiku.dip.analysis.ml.shared.PRNSTrainThread.run(PRNSTrainThread.java:173) [2022/12/18-12:06:38.947] [MRT-8235] [INFO] [dku.block.link] - Closed socket [2022/12/18-12:06:38.947] [MRT-8235] [INFO] [dku.block.link] - Closed socket [2022/12/18-12:06:38.947] [MRT-8235] [INFO] [dku.block.link] - Closed serverSocket [2022/12/18-12:06:38.947] [MRT-8235] [ERROR] [dku.analysis.ml.python] - Processing failed com.dataiku.dip.io.SocketBlockLinkKernelException: Failed to train : : [Errno None] None: 'None' at com.dataiku.dip.io.SocketBlockLinkInteraction.throwExceptionFromPython(SocketBlockLinkInteraction.java:302) at com.dataiku.dip.io.SocketBlockLinkInteraction$AsyncResult.checkException(SocketBlockLinkInteraction.java:215) at com.dataiku.dip.io.SocketBlockLinkInteraction$AsyncResult.get(SocketBlockLinkInteraction.java:190) at com.dataiku.dip.io.SingleCommandKernelLink$1.call(SingleCommandKernelLink.java:211) at com.dataiku.dip.analysis.ml.prediction.PredictionTrainAdditionalThread.process(PredictionTrainAdditionalThread.java:75) at com.dataiku.dip.analysis.ml.shared.PRNSTrainThread.run(PRNSTrainThread.java:173) [2022/12/18-12:06:38.947] [MRT-8235] [INFO] [dku.analysis.ml] - Locking model train info file /home/hisashi/DATA_DIR/analysis-data/DKU_TUTORIAL_TIME_SERIES_PREPARATION/XK5S4HbR/A4cPFkTb/sessions/s1/pp3/m1/train_info.json [2022/12/18-12:06:38.948] [MRT-8235] [INFO] [dku.analysis.ml] - Unlocking model train info file /home/hisashi/DATA_DIR/analysis-data/DKU_TUTORIAL_TIME_SERIES_PREPARATION/XK5S4HbR/A4cPFkTb/sessions/s1/pp3/m1/train_info.json [2022/12/18-12:06:38.948] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.ml.python] T-A4cPFkTb - [ct: 2803] Processing thread joined ... [2022/12/18-12:06:38.949] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.ml.python] T-A4cPFkTb - [ct: 2804] Joining processing thread ... [2022/12/18-12:06:38.949] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.ml.python] T-A4cPFkTb - [ct: 2804] Processing thread joined ... [2022/12/18-12:06:38.949] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis] T-A4cPFkTb - [ct: 2804] Train done [2022/12/18-12:06:38.950] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.prediction] T-A4cPFkTb - Train done [2022/12/18-12:06:38.954] [FT-TrainWorkThread-ZNal8U34-8233] [INFO] [dku.analysis.trainingdetails] T-A4cPFkTb - Publishing mltask-train-done reflected event