A subroutine used by the following test.

A subroutine used by the following test.

Runs the given command and verifies its exit code and output.

Tests that an assertion failure throws a subclass of std::runtime_error.

Converts a TestPartResult::Type enum to human-friendly string representation. Both kNonFatalFailure and kFatalFailure are translated to "Failure", as

Converts a TestPartResult::Type enum to human-friendly string representation. Both kNonFatalFailure and kFatalFailure are translated to "Failure", as

Tests the behavior of Google Test when --gtest_repeat is not specified.

Tests using --gtest_repeat when --gtest_filter specifies a set of failed tests.

Tests using --gtest_repeat when --gtest_filter specifies a set of successful tests.

Returns the tests for n-ary predicate assertions.

A generator that yields the tokens in the given string.

* Basic train * *********************************************************/

Returns the postamble for the tests.

Returns the preamble for the unit test file.

Makes sure gtest_root points to a valid gtest root directory. The function aborts the program on failure.

Makes sure output_dir points to a valid output directory. The function aborts the program on failure.

Generates non-fatal failures and returns false if regex is invalid; otherwise returns true.

Blocks until the controller thread notifies. Must be called from a test thread.

Reads the GTEST_SHARD_STATUS_FILE environment variable, and creates the file if the variable is present. If a file already exists at this location, th

Reads the GTEST_SHARD_STATUS_FILE environment variable, and creates the file if the variable is present. If a file already exists at this location, th

Cross-validation

Start to train

Set file path of the pre-trained model

Set file path of the txt model data

The entry point of the script. Generates the header file and its unit test.

This function do initialize DMatrix from numpy 2D and pandas DataFrame. Parameters

Load xlearn shared library

Returns the TestResult for the ad hoc test.

Returns the TestResult for the ad hoc test.

Calculate gradient and update current model using adagrad

Calculate gradient and update current model using adagrad

Calculate gradient and update current model using adagrad TODO(aksnzhy): solve unseen feature

Calculate gradient and update current model using ftrl

Calculate gradient and update current model using ftrl

Calculate gradient and update current model using ftrl

Calculate gradient and update current model using sgd

Calculate gradient and update current model using sgd

Calculate gradient and update current model using sgd TODO(aksnzhy): solve unseen feature

Check and parse user's input

Check hyper-param. Used by c_api

Create a field-aware factorization machine.

Create a factorization machine.

Create a linear model.

Deserialize w,v,b from disk file

Disable lock free training

Disable instance-wise normalization

Gets the number of failed test cases.

Find the path to xlearn dynamic library files. Returns ------- lib_path: list(string) List of all found library path to xlearn

Controls whether events will be forwarded to listeners_. Set to false in death test child processes.

Controls whether events will be forwarded to listeners_. Set to false in death test child processes.

Get host name

The log file name = base + host_name + username + date_time + process_id

Return internal XLearn model. This will raise exception when model is not fitted :return: the underlying XLearn model

Get model parameters :param deep: is deep copy :return: model parameters

Get user name

Get xlearn model parameters :return: model parameters used for training

Returns true iff this is NAN (not a number).

Returns true iff this is NAN (not a number).

Gets the message associated with the test part.

Returns the text streamed into this AssertionResult. Test assertions use it when they fail (i.e., the predicate's outcome doesn't match the assertion'

Get current system time

Release a pointer. The return value is the current pointer held by this object. If this object holds a NULL pointer, the return value is NULL. After t

Serialize w,v,b to disk file

Set xlearn to quiet model

Set the path of TXT model file. Parameters ---------- model_path : str the path of the TXT model file.

We call this function to set the type of failure SetUp() should generate.

Was SetUp() run?

Find the last '\n' in block, and shrink back file pointer

Convert output by using the sigmoid function.

Convert output to 0 and 1.