def generate_api_docs(): modules = [losses, regularizers, optimizer, visualization, utils, vggnet] mkgen = MarkdownAPIGenerator( "vis", "https://github.com/raghakot/keras-vis/tree/master") for module in modules: md_string = mkgen.module2md(module) to_md_file(md_string, module.__name__, "sources")
def generate_api_docs(): modules = [ experiments.base, experiments.singlethreaded, experiments.multicore ] md_gen = MarkdownAPIGenerator( "triage", "https://github.com/dssg/triage/tree/master") for m in modules: md_string = md_gen.module2md(m) to_md_file(md_string, m.__name__, "docs/sources")
def generate_api_docs(): modules = [ backend, utils, visualization, backprop_modifiers, callbacks, grad_modifiers, input_modifiers, losses, optimizer, regularizers ] md_gen = MarkdownAPIGenerator( "vis", "https://github.com/raghakot/keras-vis/tree/master") for m in modules: md_string = md_gen.module2md(m) to_md_file(md_string, m.__name__, "sources")
def generate_api_docs(): modules = [ core, tensor_utils, prediction_utils, model_info_utils ] md_gen = MarkdownAPIGenerator("model_server", "https://github.com/Abhijit-2592/model-server/tree/master") for m in modules: md_string = md_gen.module2md(m) to_md_file(md_string, m.__name__, "sources")
def generate_api_docs(): modules = [ token_model, sentence_model, sequence_encoders, layers, data, corpus, embeddings, experiment, format, generators, io, sampling, char_tokenizer, sentence_tokenizer, tokenizer, utils, word_tokenizer ] md_gen = MarkdownAPIGenerator( "texcla", "https://github.com/jfilter/text-classification-keras/tree/master") for m in modules: md_string = md_gen.module2md(m) to_md_file(md_string, m.__name__, "sources")
def test_docs_generation(self): modules = [ md_autogen, ] output_folder = os.path.join(self.tempdir, "generated") os.mkdir(output_folder) md_gen = MarkdownAPIGenerator( "md_autogen", "https://github.com/raghakot/markdown-apidocs") for m in modules: md_string = md_gen.module2md(m) to_md_file(md_string, m.__name__, output_folder) self.assertTrue(output_folder) self.assertEqual(1, len(glob(os.path.join(output_folder, "*.md"))))
def generate_api_docs(): modules = [ backend, utils, visualization, backprop_modifiers, callbacks, grad_modifiers, input_modifiers, losses, optimizer, regularizers ] md_gen = MarkdownAPIGenerator("vis", "https://github.com/raghakot/keras-vis/tree/master") for m in modules: md_string = md_gen.module2md(m) to_md_file(md_string, m.__name__, "sources")