Python to_md_file Examples

Example #1

File: update_docs.py Project: xuezhizeng/keras-vis

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")

Example #2

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")

Example #3

File: update_docs.py Project: zyc573823770/keras-vis

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")

Example #4

File: create_documentation.py Project: zhouyonglong/model-server

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")

Example #5

File: update_docs.py Project: zmandyhe/text-classification-keras

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")

Example #6

    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"))))

Example #7

File: update_docs.py Project: Jacksu20160407/keras-vis

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")