磚運行時為6.0毫升(不支持)

2019年10月磚公布的這張照片。

磚6.0運行時機器學習為機器學習和數據提供了一個準備好了環境科學的基礎上磚運行時的6.0(不支持)。磚運行時毫升含有許多流行的機器學習庫,包括TensorFlow PyTorch Keras, XGBoost。它還支持使用Horovod分布深度學習培訓。

更多信息,包括指令創建磚集群運行時毫升、明白了磚運行時機器學習。

新功能

磚磚的運行時6.0毫升之上6.0運行時。有什麼新信息的磚6.0運行時,看到的磚運行時的6.0(不支持)發行說明。

查詢MLflow實驗數據大規模使用新的MLflow火花數據源

火花數據源MLflow實驗現在提供了一個標準的API加載MLflow實驗運行數據。這使得大規模使用DataFrame api MLflow實驗數據的查詢和分析。對於一個給定的實驗中,DataFrame包含run_ids,度量標準,參數,標簽,start_time, end_time,地位,和artifact_uri工件。看到MLflow實驗。

改進

  • Hyperopt GA

    Hyperopt磚是現在通常可用。顯著的改進自公共預覽版包括支持MLflow登錄引發工人,正確處理PySpark廣播變量,以及一個新的指南使用Hyperopt模型選擇。我們也固定日誌消息的小錯誤,錯誤處理,UI,使我們的文檔更多讀者友好。詳情,請參閱Hyperopt文檔。

    我們已經更新數據磚日誌Hyperopt實驗,這樣你可以現在日誌一個自定義指標在Hyperopt運行期間通過度量的mlflow.log_metric函數(見log_metric)。這是有用的日誌如果你想自定義指標除了損失,登錄時默認情況下hyperopt.fmin函數被調用。

  • MLflow

    • 添加MLflow Java客戶機1.2.0

    • MLflow現在作為一個頂級推廣圖書館

  • 升級機器學習庫

    • Horovod升級0.16.4 0.18.1

    • MLflow升級1.0.0 1.2.0

  • 蟒蛇分布從5.2.0升級到2019.03

刪除

  • 磚毫升模型出口被移除。使用MLeap導入和導出模型。

  • 在Hyperopt圖書館,以下屬性hyperopt.SparkTrials刪除:

    • SparkTrials.successful_trials_count

    • SparkTrials.failed_trials_count

    • SparkTrials.cancelled_trials_count

    • SparkTrials.total_trials_count

    他們替換為以下功能:

    • SparkTrials.count_successful_trials ()

    • SparkTrials.count_failed_trials ()

    • SparkTrials.count_cancelled_trials ()

    • SparkTrials.count_total_trials ()

係統環境

磚的係統環境運行時6.0毫升不同於磚運行時的6.0如下:

庫

下麵的章節列表庫包含在磚運行時的6.0毫升,不同於那些包含在磚6.0運行時。

Python庫

磚運行時6.0毫升使用Conda Python包管理,包括許多流行毫升包。以下部分描述了Conda磚運行時環境6.0毫升。

Python 3對CPU集群

的名字:databricks-ml渠道:- - - - - -pytorch- - - - - -違約依賴關係:- - - - - -_libgcc_mutex = 0.1 =主要- - - - - -_py-xgboost-mutex = 2.0 = cpu_0- - - - - -_tflow_select = tripwire = mkl- - - - - -absl-py =是0.7.1 = py37_0- - - - - -asn1crypto = 0.24.0 = py37_0- - - - - -阿斯特= 0.8.0 = py37_0- - - - - -backcall = 0.1.0 = py37_0- - - - - -補丁= 1.0 = py_2- - - - - -bcrypt = 3.1.6 = py37h7b6447c_0- - - - - -布拉斯特區= 1.0 = mkl- - - - - -寶途= 2.49.0 = py37_0- - - - - -boto3 = 1.9.162 = py_0- - - - - -botocore = 1.12.163 = py_0- - - - - -c-ares = 1.15.0 = h7b6447c_1001- - - - - -ca證書= 2019.1.23 = 0- - - - - -certifi = 2019.3.9 = py37_0- - - - - -cffi = 1.12.2 = py37h2e261b9_1- - - - - -chardet = 3.0.4 = py37_1003- - - - - -單擊= 7.0 = py37_0- - - - - -cloudpickle = 0.8.0 = py37_0- - - - - -彩色光= 0.4.1 = py37_0- - - - - -configparser = 3.7.4 = py37_0- - - - - -密碼= 2.6.1 = py37h1ba5d50_0- - - - - -周期計= 0.10.0 = py37_0- - - - - -cython = 0.29.6 = py37he6710b0_0- - - - - -decorator = 4.4.0 = py37_1- - - - - -docutils = 0.14 = py37_0- - - - - -entrypoints = 0.3 = py37_0- - - - - -et_xmlfile = 1.0.1 = py37_0- - - - - -瓶1.0.2 = = py37_1- - - - - -freetype的= 2.9.1 = h8a8886c_1- - - - - -未來= 0.17.1 = py37_0- - - - - -恐嚇= 0.2.2 = py37_0- - - - - -gitdb2 = 2.0.5 = py37_0- - - - - -gitpython = 2.1.11 = py37_0- - - - - -grpcio = 1.16.1 = py37hf8bcb03_1- - - - - -gunicorn = 19.9.0 = py37_0- - - - - -h5py = 2.9.0 = py37h7918eee_0- - - - - -hdf5 = 1.10.4 = hb1b8bf9_0- - - - - -html5lib = 1.0.1 = py_0- - - - - -icu = 58.2 = h9c2bf20_1- - - - - -idna = 2.8 = py37_0- - - - - -intel-openmp = 2019.3 = 199- - - - - -ipython = 7.4.0 = py37h39e3cac_0- - - - - -ipython_genutils = 0.2.0 = py37_0- - - - - -itsdangerous = 1.1.0 = py37_0- - - - - -jdcal = 1.4 = py37_0- - - - - -絕地= 0.13.3 = py37_0- - - - - -jinja2 = 2.10 = py37_0- - - - - -jmespath = 0.9.4 = py_0- - - - - -jpeg = 9 b = h024ee3a_2- - - - - -keras = 2.2.4 = 0- - - - - -keras-applications = 1.0.8 = py_0- - - - - -keras-base = 2.2.4 = py37_0- - - - - -keras-preprocessing = 1.1.0 = py_1- - - - - -kiwisolver = 1.0.1 = py37hf484d3e_0- - - - - -krb5 = 1.16.1 = h173b8e3_7- - - - - -libedit = 3.1.20181209 = hc058e9b_0- - - - - -libffi = 3.2.1 = hd88cf55_4- - - - - -libgcc-ng = 8.2.0 = hdf63c60_1- - - - - -libgfortran-ng = 7.3.0 = hdf63c60_0- - - - - -libpng = 1.6.36 = hbc83047_0- - - - - -libpq = 11.2 = h20c2e04_0- - - - - -libprotobuf = 3.8.0 = hd408876_0- - - - - -libsodium = 1.0.16 = h1bed415_0- - - - - -libstdcxx-ng = 8.2.0 = hdf63c60_1- - - - - -libtiff = 4.0.10 = h2733197_2- - - - - -libxgboost = 0.90 = he6710b0_0- - - - - -libxml2 = 2.9.9 = hea5a465_1- - - - - -libxslt = 1.1.33 = h7d1a2b0_0- - - - - -llvmlite = 0.28.0 = py37hd408876_0- - - - - -lxml = 4.3.2 = py37hefd8a0e_0- - - - - -尖吻鯖鯊= 1.0.10 = py_0- - - - - -減價= 3.1.1 = py37_0- - - - - -markupsafe = 1.1.1 = py37h7b6447c_0- - - - - -mkl = 2019.3 = 199- - - - - -mkl_fft = 1.0.10 = py37ha843d7b_0- - - - - -1.0.2 mkl_random = = py37hd81dba3_0- - - - - -模擬= 3.0.5 = py37_0- - - - - -ncurses = 6.1 = he6710b0_1- - - - - -networkx = 2.2 = py37_1- - - - - -忍者= 1.9.0 = py37hfd86e86_0- - - - - -鼻子= 1.3.7 = py37_2- - - - - -numba = 0.43.1 = py37h962f231_0- - - - - -numpy = 1.16.2 = py37h7e9f1db_0- - - - - -numpy-base = 1.16.2 = py37hde5b4d6_0- - - - - -olefile = 0.46 = py37_0- - - - - -openpyxl = 2.6.1 = py37_1- - - - - -openssl = 1.1.1b = h7b6447c_1- - - - - -熊貓= 0.24.2 = py37he6710b0_0- - - - - -paramiko = 2.4.2 = py37_0- - - - - -parso = 0.3.4 = py37_0- - - - - -pathlib2 = 2.3.3 = py37_0- - - - - -容易受騙的人= 0.5.1 = py37_0- - - - - -pexpect = 4.6.0 = py37_0- - - - - -pickleshare = 0.7.5 = py37_0- - - - - -枕頭= 5.4.1之前= py37h34e0f95_0- - - - - -皮普= 19.0.3 = py37_0- - - - - -厚度= 3.11 = py37_0- - - - - -prompt_toolkit = 2.0.9 = py37_0- - - - - -protobuf = 3.8.0 = py37he6710b0_0- - - - - -psutil = 5.6.1 = py37h7b6447c_0- - - - - -psycopg2 = 2.7.6.1 = py37h1ba5d50_0- - - - - -ptyprocess = 0.6.0 = py37_0- - - - - -py-xgboost = 0.90 = py37he6710b0_0- - - - - -py-xgboost-cpu = 0.90 = py37_0- - - - - -pyasn1 = 0.4.6 = py_0- - - - - -pycparser = 2.19 = py37_0- - - - - -pygments = 2.3.1 = py37_0- - - - - -pymongo = 3.8.0 = py37he6710b0_1- - - - - -= py37h7b6447c_0 1.3.0 pynacl =版本- - - - - -pyopenssl = 19.0.0 = py37_0- - - - - -pyparsing = 2.3.1 = py37_0- - - - - -pysocks = 1.6.8 = py37_0- - - - - -python = 3.7.3 = h0371630_0- - - - - -python-dateutil = 2.8.0 = py37_0- - - - - -python編輯器的1.0.4 = = py_0- - - - - -pytorch-cpu = 1.1.0 = py3.7_cpu_0- - - - - -pytz = 2018.9 = py37_0- - - - - -pyyaml = 5.1 = py37h7b6447c_0- - - - - -readline = 7.0 = h7b6447c_5- - - - - -= 2.21.0 = py37_0請求- - - - - -s3transfer = 0.2.1 = py37_0- - - - - -scikit-learn = 0.20.3 = py37hd81dba3_0- - - - - -scipy = 1.2.1 = py37h7c811a0_0- - - - - -setuptools = 40.8.0 = py37_0- - - - - -simplejson = 3.16.0 = py37h14c3975_0- - - - - -singledispatch = 3.4.0.3 = py37_0- - - - - -6 = 1.12.0 = py37_0- - - - - -smmap2 = 2.0.5 = py37_0- - - - - -sqlite = 3.27.2 = h7b6447c_0- - - - - -sqlparse = 0.3.0 = py_0- - - - - -statsmodels = 0.9.0 = py37h035aef0_0- - - - - -彙總= 0.8.3 = py37_0- - - - - -tensorboard = 1.13.1 = py37hf484d3e_0- - - - - -tensorflow = 1.13.1 = mkl_py37h54b294f_0- - - - - -tensorflow-base = 1.13.1 = mkl_py37h7ce6ba3_0- - - - - -tensorflow-estimator = 1.13.0 = py_0- - - - - -tensorflow-mkl = 1.13.1 = h4fcabd2_0- - - - - -termcolor = 1.1.0 = py37_1- - - - - -tk = 8.6.8 = hbc83047_0- - - - - -torchvision-cpu = 0.3.0 = py37_cuNone_1- - - - - -tqdm = 4.31.1 = py37_1- - - - - -traitlets = 4.3.2 = py37_0- - - - - -urllib3 = 1.24.1 = py37_0- - - - - -virtualenv = 16.0.0 = py37_0- - - - - -wcwidth = 0.1.7 = py37_0- - - - - -webencodings = 0.5.1 = py37_1- - - - - -websocket-client = 0.56.0 = py37_0- - - - - -werkzeug = 0.14.1 = py37_0- - - - - -輪= 0.33.1 = py37_0- - - - - -打包= 1.11.1 = py37h7b6447c_0- - - - - -xz = 5.2.4 = h14c3975_4- - - - - -yaml = 0.1.7 = had09818_2- - - - - -zlib = 1.2.11 = h7b6447c_3- - - - - -zstd = 1.3.7 = h0b5b093_0- - - - - -皮普:- - - - - -argparse = = 1.4.0- - - - - -databricks-cli = = 0.9.0- - - - - -碼頭工人= = 4.0.2- - - - - -fusepy = = 2.0.4- - - - - -大猩猩= = 0.3.0- - - - - -horovod = = 0.18.1- - - - - -hyperopt = = 0.1.2.db8- - - - - -matplotlib = = 3.0.3- - - - - -mleap = = 0.8.1- - - - - -mlflow = = 1.2.0- - - - - -nose-exclude = = 0.5.0- - - - - -pyarrow = = 0.13.0- - - - - -querystring-parser = = 4- - - - - -seaborn = = 0.9.0- - - - - -tensorboardx = = 1.8前綴:/磚/ conda / env / databricks-ml

引發包包含Python模塊

火花包

Python模塊

版本

graphframes

graphframes

0.7.0-db1-spark2.4

spark-deep-learning

sparkdl

1.5.0-db5-spark2.4

tensorframes

tensorframes

0.7.0-s_2.11

R庫

R庫的完全相同R圖書館磚6.0運行時。

Java和Scala庫(Scala 2.11集群)

除了Java和Scala庫磚6.0運行時,磚運行時6.0毫升包含以下jar:

組ID

工件ID

版本

com.databricks

spark-deep-learning

1.5.0-db5-spark2.4

com.typesafe.akka

akka-actor_2.11

2.3.11

ml.combust.mleap

mleap-databricks-runtime_2.11

0.14.0

ml.dmlc

xgboost4j

0.90

ml.dmlc

xgboost4j-spark

0.90

org.graphframes

graphframes_2.11

0.7.0-db1-spark2.4

org.mlflow

mlflow-client

1.2.0

org.tensorflow

libtensorflow

1.13.1

org.tensorflow

libtensorflow_jni

1.13.1

org.tensorflow

spark-tensorflow-connector_2.11

1.13.1

org.tensorflow

tensorflow

1.13.1

org.tensorframes

tensorframes

0.7.0-s_2.11