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Methods defined here:
- __init__(self, object=None, count_column=None, delimiter=',', parent_column=None, partition_names=None, node_column=None, object_sequence_column=None, object_partition_column=None, object_order_column=None)
- DESCRIPTION:
The PathStart function takes output of the function PathSummarizer
and returns, for each parent in the input teradataml DataFrame, the parent and
children and the number of times that each of its sub-sequences was
traveled.
PARAMETERS:
object:
Required Argument.
The name of the teradataml DataFrame containing the input data.
object_partition_column:
Required Argument.
Specifies Partition By columns for object.
Values to this argument can be provided as list, if multiple columns
are used for partition.
Types: str OR list of Strings (str)
object_order_column:
Optional Argument.
Specifies Order By columns for object.
Values to this argument can be provided as list, if multiple columns
are used for ordering.
Types: str OR list of Strings (str)
count_column:
Required Argument.
Specifies the name of the input teradataml DataFrame column that
contains the number of times a path was traveled.
Types: str
delimiter:
Optional Argument.
Specifies the single-character delimiter that separates symbols in
the path string.
Note: Do not use any of the following characters as delimiter (they
cause the function to fail):
Asterisk (*), Plus (+), Left parenthesis ((),
Right parenthesis ()), Single quotation mark ('),
Escaped single quotation mark (\'), Backslash (\).
Default Value: ","
Types: str
parent_column:
Required Argument.
Specifies the name of the input teradataml DataFrame column that
contains the parent nodes. The object_partition_column argument in the
function call must include this column.
Types: str
partition_names:
Required Argument.
Lists the names of the columns that the object_partition_column argument
specifies. The function uses these names for output teradataml
DataFrame columns. This argument and the object_partition_column argument
must specify the same names in the same order. One object_partition_column
must be parent_column.
Types: str OR list of strs
node_column:
Required Argument.
Specifies the name of the input teradataml DataFrame column that
contains the nodes.
Types: str
object_sequence_column:
Optional Argument.
Specifies the list of column(s) that uniquely identifies each row of
the input argument "object". The argument is used to ensure
deterministic results for functions which produce results that vary
from run to run.
Types: str OR list of Strings (str)
RETURNS:
Instance of PathStart.
Output teradataml DataFrames can be accessed using attribute
references, such as PathStartObj.<attribute_name>.
Output teradataml DataFrame attribute name is:
result
RAISES:
TeradataMlException
EXAMPLES:
# Load example data.
load_example_data("pathgenerator", "clickstream1")
# Create teradataml DataFrame objects.
# The table contains clickstream data, where the "path" column
# contains symbols for the pages that the customer clicked.
clickstream1 = DataFrame.from_table("clickstream1")
# Example 1 - PathStart uses the output of PathSummarizer.
PathGeneratorOut = PathGenerator(data = clickstream1,
seq_column = "path"
)
PathSummarizerOut = PathSummarizer(object = PathGeneratorOut,
object_partition_column = ['prefix'],
seq_column = 'sequence',
partition_names = 'prefix',
prefix_column = 'prefix'
)
PathStartOut1 = PathStart(object=PathSummarizerOut,
object_partition_column='parent',
node_column='node',
parent_column='parent',
count_column='cnt',
partition_names='partitioned'
)
# Print the results
print(PathStartOut1)
# Example 2 - Alternatively, persist and use the output table of PathSummarizer.
copy_to_sql(PathSummarizerOut.result, "generated_summarized_path_table")
generated_summarized_path_table = DataFrame.from_table("generated_summarized_path_table")
PathStartOut2 = PathStart(object=generated_summarized_path_table,
object_partition_column='parent',
node_column='node',
parent_column='parent',
count_column='cnt',
partition_names='partitioned'
)
# Print the results
print(PathStartOut2)
- __repr__(self)
- Returns the string representation for a PathStart class instance.
- get_build_time(self)
- Function to return the build time of the algorithm in seconds.
When model object is created using retrieve_model(), then the value returned is
as saved in the Model Catalog.
- get_prediction_type(self)
- Function to return the Prediction type of the algorithm.
When model object is created using retrieve_model(), then the value returned is
as saved in the Model Catalog.
- get_target_column(self)
- Function to return the Target Column of the algorithm.
When model object is created using retrieve_model(), then the value returned is
as saved in the Model Catalog.
- show_query(self)
- Function to return the underlying SQL query.
When model object is created using retrieve_model(), then None is returned.
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