You recommend pip3 for linux and mac, but pip for windows. Why? #32
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Thank you! I usually use |
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For me it does not make any difference on Windows to use pip -V oder pip3 -V is resolved by the same version. Linux still has python 2.x under the hood, as far as I know, why it does make sense to be sure in choosing the right instance of a package manager. Whilst working with env this might again be not that important, since the env's version is used. |
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Changes in PyGAD 2.14.0 1. Issue #40 is solved. Now, the None value works with the crossover_type and mutation_type parameters: #40 2. The gene_type parameter supports accepting a list/tuple/numpy.ndarray of numeric data types for the genes. This helps to control the data type of each individual gene. Previously, the gene_type can be assigned only to a single data type that is applied for all genes. 3. A new bool attribute named gene_type_single is added to the pygad.GA class. It is True when there is a single data type assigned to the gene_type parameter. When the gene_type parameter is assigned a list/tuple/numpy.ndarray, then gene_type_single is set to False. 4. The mutation_by_replacement flag now has no effect if gene_space exists except for the genes with None values. For example, for gene_space=[None, [5, 6]] the mutation_by_replacement flag affects only the first gene which has None for its value space. 5. When an element has a value of None in the gene_space parameter (e.g. gene_space=[None, [5, 6]]), then its value will be randomly generated for each solution rather than being generate once for all solutions. Previously, the gene with None value in gene_space is the same across all solutions 6. Some changes in the documentation according to issue #32: #32
ahmedfgad
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May 19, 2021
1. Issue #40 is solved. Now, the None value works with the crossover_type and mutation_type parameters: #40 2. The gene_type parameter supports accepting a list/tuple/numpy.ndarray of numeric data types for the genes. This helps to control the data type of each individual gene. Previously, the gene_type can be assigned only to a single data type that is applied for all genes. 3. A new bool attribute named gene_type_single is added to the pygad.GA class. It is True when there is a single data type assigned to the gene_type parameter. When the gene_type parameter is assigned a list/tuple/numpy.ndarray, then gene_type_single is set to False. 4. The mutation_by_replacement flag now has no effect if gene_space exists except for the genes with None values. For example, for gene_space=[None, [5, 6]] the mutation_by_replacement flag affects only the first gene which has None for its value space. 5. When an element has a value of None in the gene_space parameter (e.g. gene_space=[None, [5, 6]]), then its value will be randomly generated for each solution rather than being generate once for all solutions. Previously, the gene with None value in gene_space is the same across all solutions 6. Some changes in the documentation according to issue #32: #32
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The documentation of the latest release of PyGAD 2.14.0 is updated to only use |
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If it's
pip3anywhere, it'spip3everywhere. Windows getspip3frompython3just like everybody elseThe text was updated successfully, but these errors were encountered: