c7g.4xlarge

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

c7g.4xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

Benchmark: SAGA

c7g.4xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Benchmark: Glmnet

c7g.4xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'

Benchmark: MNIST Dataset

c7g.4xlarge: The test quit with a non-zero exit status. E: ImportError: Returning pandas objects requires pandas to be installed. Alternatively, explicitly set `as_frame=False` and `parser='liac-arff'`.

Benchmark: Plot Lasso Path

c7g.4xlarge: The test quit with a non-zero exit status. E: sklearn.utils._param_validation.InvalidParameterError: The 'effective_rank' parameter of make_regression must be an int in the range [1, inf) or None. Got 1.5 instead.

Benchmark: Isolation Forest

c7g.4xlarge: The test quit with a non-zero exit status. E: ImportError: Using `parser='pandas'` wit dense data requires pandas to be installed. Alternatively, explicitly set `parser='liac-arff'`.

Benchmark: Text Vectorizers

c7g.4xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Benchmark: Plot OMP vs. LARS

c7g.4xlarge: The test quit with a non-zero exit status. E: TypeError: got an unexpected keyword argument 'data_transposed'

Benchmark: LocalOutlierFactor

c7g.4xlarge: The test quit with a non-zero exit status. E: ImportError: Using `parser='pandas'` wit dense data requires pandas to be installed. Alternatively, explicitly set `parser='liac-arff'`.

Benchmark: TSNE MNIST Dataset

c7g.4xlarge: The test quit with a non-zero exit status. E: ImportError: Returning pandas objects requires pandas to be installed. Alternatively, explicitly set `as_frame=False` and `parser='liac-arff'`.

Benchmark: Plot Parallel Pairwise

c7g.4xlarge: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64

Benchmark: Isotonic / Pathological

c7g.4xlarge: The test quit with a non-zero exit status.

Benchmark: RCV1 Logreg Convergencet

c7g.4xlarge: The test quit with a non-zero exit status. E: IndexError: list index out of range

Benchmark: Hist Gradient Boosting Adult

c7g.4xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Benchmark: Hist Gradient Boosting Higgs Boson

c7g.4xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Benchmark: Plot Non-Negative Matrix Factorization

c7g.4xlarge: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'