Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Home Page: https://getml.com
License: Other
Currently we can only select rows from a DataFrame via a BooleanColumnView.
Support for selection via list of bools or numpy array of bools should be added.
target_table[list_or_numpy_array_of_bools]
When modifying a table via
table= table.drop(
cols=[
"A",
"B",
"C"
]
).to_df(name=table.name)
no error is thrown. But if we then try to subsequently access the table, the error is thrown that column "A" does not exists (table.name=TEST):
OSError: Data frame 'TEST' contains no column named 'A'!
The problem is solved by calling
table.refresh()
=> Possible solution add try catch which calls refresh?
Hi there - just a quick message to let you know that the dockerimage appears to be missing. Thanks
now = datetime.datetime.now()
table[ table["date"]< now]
Does not work, a np.datetime64 is required.
now = datetime.datetime.now()
table[ table["date"]< np.datetime64(now)]
getml should in general support standard python library types such as datetime.datetime
import getml
getml.engine.launch()
getml.engine.set_project("test")
names_pipelines = getml.pipeline.list_pipelines()
x = getml.pipeline.load(names_pipelines[0])
print(x)
leads to the error:
Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/ubuntu/.vscode-server/extensions/ms-python.python-2023.22.0/pythonFiles/lib/python/debugpy/adapter/../../debugpy/launcher/../../debugpy/__main__.py", line 39, in <module>
cli.main()
File "/home/ubuntu/.vscode-server/extensions/ms-python.python-2023.22.0/pythonFiles/lib/python/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 430, in main
run()
File "/home/ubuntu/.vscode-server/extensions/ms-python.python-2023.22.0/pythonFiles/lib/python/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 284, in run_file
runpy.run_path(target, run_name="__main__")
File "/home/ubuntu/.vscode-server/extensions/ms-python.python-2023.22.0/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path
return _run_module_code(code, init_globals, run_name,
File "/home/ubuntu/.vscode-server/extensions/ms-python.python-2023.22.0/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/home/ubuntu/.vscode-server/extensions/ms-python.python-2023.22.0/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code
exec(code, run_globals)
File "/home/ubuntu/.../.../models/test.py", line 10, in <module>
print(x)
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/pipeline/pipeline.py", line 609, in __repr__
repr_str = sig._format()
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/utilities/formatting/signature_formatter.py", line 194, in _format
return getattr(self, "_format_" + style)(suppress_none)
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/utilities/formatting/signature_formatter.py", line 105, in _format_pep8
list_split = _split_value(
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/utilities/formatting/signature_formatter.py", line 34, in _split_value
split.extend(_split_value(remaining, start, max_width))
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/utilities/formatting/signature_formatter.py", line 34, in _split_value
split.extend(_split_value(remaining, start, max_width))
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/utilities/formatting/signature_formatter.py", line 34, in _split_value
split.extend(_split_value(remaining, start, max_width))
[Previous line repeated 977 more times]
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/utilities/formatting/signature_formatter.py", line 29, in _split_value
truncated = list(_truncate_line(value, 2, max_width - start, template="{!r}"))
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/utilities/formatting/formatter.py", line 152, in _truncate_line
for cell, cum_width in zip(line, cum_widths):
File "/home/ubuntu/.../.../.venv/lib/python3.10/site-packages/getml/utilities/formatting/formatter.py", line 148, in <genexpr>
widths = (len(template.format(cell)) + margin for cell in line)
File "_pydevd_bundle/pydevd_cython.pyx", line 1457, in _pydevd_bundle.pydevd_cython.SafeCallWrapper.__call__
RecursionError: maximum recursion depth exceeded while calling a Python object
Problem is probably that not all strings are allowed for "tag";
"{'schema_name': 'DEMAND', 'country': 'IT', 'tables': 'w:60d', 'include_categorical': False, 'fast_prop': True, 'fast_prop_mode': 'minimal', 'relboost': False, 'mapping': False, 'share_selected_features': 1.0, 't': 'numerical', 'w': 'unused_float', 'solar_radiation': 'unused_float', 'max_depth_feature_selector': 3, 'max_depth_predictor': 3, 'max_depth_rel_boost': 3, 'columns': {'weather': ['date', 'country', 'hour', 'month', 'weekday', 't', 's', 'w']}}"
Hello, while reading the README.md, I saw that there is a mistake. Here is the original text Tetouan | Ten-minute electricity consumption of three different zones in Tetouan City, Mexico. But Tetouan is a Moroccan city, not a Mexican city.
A small issue, I know ;)
getml.DataFrame.add should accept List for col argument.
Also type annotations should be added.
table.add(col=[ ele for ele in table.pet_names], name="test", role="unused_string")
leads to
TypeError: 'col' must be a getml.data.Column or a value!
Currently "objective" parameter for the XGBoostClassifier is limited to "reg:squarederror", "reg:tweedie", "reg:linear", "reg:logistic", "binary:logistic", "binary:logitraw". And these values are even forced with validation code:
if kkey == "objective":
if not isinstance(parameters["objective"], str):
raise TypeError("'objective' must be of type str")
if parameters["objective"] not in [
"reg:squarederror",
"reg:tweedie",
"reg:linear",
"reg:logistic",
"binary:logistic",
"binary:logitraw",
]:
raise ValueError(
"""'objective' must either be 'reg:squarederror', """
"""'reg:tweedie', 'reg:linear', 'reg:logistic', """
"""'binary:logistic', or 'binary:logitraw'"""
)
This code was clearly added when XGBoost already supported multiclass classification. So why can't I use an objective like "multi:softmax"? Or maybe there is some workaround for the multiclass classification?
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