DECISION STATS

On Azure Databricks you can create experiments using MLFlow https://mlflow.org/

notebook_path = ‘/Users/Ajay/Folder’

notebook_path = notebook_path
mlflow.set_experiment(notebook_path + ‘_experiments’)

with mlflow.start_run(run_name=”ExperimentRun”+curr_ts):
mlflow.log_params({
‘RSME’: RSME,
‘AUC’: AUC,

})
mlflow.end_run()

https://docs.microsoft.com/en-us/azure/databricks/applications/mlflow/

https://docs.microsoft.com/en-us/azure/databricks/applications/mlflow/quick-start-python

use .dt.date

df[‘column’] = pd.to_datetime(df[‘column’], format=’%Y-%m-%d’).dt.date

Source-

https://stackoverflow.com/questions/16176996/keep-only-date-part-when-using-pandas-to-datetime

pandasdf[“Col1”]= pandasdf[“Col1”].astype(str)

width = 5

pandasdf[“Col1”]= pandasdf[“Col1”].str.zfill(width)

https://stackoverflow.com/questions/23836277/add-leading-zeros-to-strings-in-pandas-dataframe

%pythondf=spark.sql(“select * from name_csv”)
display(df.select(“*”))

pandas_df = df.toPandas()

Creating SQL Table using Spark

%python
acc_1=spark.sql(“create table test_spark as select columns, column,columnc from table where to_date(ac_opn_dt) < ‘2012-07-01’ )”)

# Given pandas dataframe,  return a spark’s dataframe.
def pandas_to_spark(pandas_df):
columns = list(pandas_df.columns)
types = list(pandas_df.dtypes)
struct_list = []
for column, typo in zip(columns, types):
struct_list.append(define_structure(column, typo))
p_schema = StructType(struct_list)
return sqlContext.createDataFrame(pandas_df, p_schema)

News from Rexer Analytical ics

— Link to Start the Survey

— Access Code:  ZVWX3

— Link to Start the Survey

— Access Code:  ZVWX3

           It is OK to share this Access Code with others:  It can be used by multiple people

— Our main Data Science Survey page also has more survey information & FREE downloads of the 2007-2017 Survey Summary Reports

Analytic Professionals — Please participate in the 2020 Data Science Survey.

Please use and share these links:

 

— Link to Start the Survey

— Access Code:  ZVWX3

           It is OK to share this Access Code with others:  It can be used by multiple people

— Our main Data Science Survey page also has more survey information & FREE downloads of the 2007-2017 Survey Summary Reports

Rexer Analytics has been conducting the Data Science Survey since 2007.  Each survey explores the analytic behaviors, views and preferences of data scientists and analytic professionals.  Over 1100 people from around the globe participated in the 2015 and 2017 surveys.  A report summarizing the 2020 Survey findings will be available free to everyone in 4Q-2020.

The survey should take approximately 20 minutes to complete.  Your responses are completely confidential.