Functions

Summary

function	class parent	truncated documentation
_distance_img		Computes the distance between two images. The function uses Pillow.
_distance_img_b64		Calls _distance_img() on an image encoded with base64.
_get_app		Get application.
_setup_hook		if this function is added to the module, the help automation and unit tests call it first before anything goes on …
base642image		Gets an encoded image and builds an PIL.Image.Image from it.
bytes2string		Converts bytes to string.
check		Checks the library is working. It raises an exception. If you want to disable the logs:
dummy_application		Defines a dummy application using this API. It returns a score produced by a model trained on Iris datasets …
dummy_application_auth		Defines a dummy application using this API including authentification. It returns a score produced by a model trained …
dummy_application_fct		Defines an application as defined in the tutorial Create your first REST API.
dummy_application_image		Defines a dummy application using this API and processing one image. The API ingests an image, resizes it to 224x224 …
dummy_application_neighbors		Defines a dummy application using this API. It returns a list of neighbors with a score on Iris datasets. …
dummy_application_neighbors_image		Defines a dummy application using this API. It returns a list of one neighbor for an image and metadata (random). …
dummy_mlstorage		Defines a dummy application using this API. It stores a model and it returns a score produced by a model trained …
encrypt_password		Encrypts one password.
encrypt_passwords		Encrypts users passwords.
encrypt_pwd		Encrypts passwords to setup a REST API with lightmlrestapi.
enumerate_parsed_logs		Goes through a list of logged files, reads and decrypts the content.
get_wiki_img		Returns a path to local image.
image2array		Converts a color imaged into an array.
image2base64		Encodes an image into base64.
json_dumps		Dumps an object into json.
json_loads		Loads an object from json.
json_predict_model		Builds a REST request to compute the prediction of a machine learning model upload with json_upload_model(). …
json_upload_model		Builds a REST request to upload a machine learned models to a REST API defined by MLStoragePost.
load_passwords		Loads the encrypted passwords from a filename, a dataframe, a list of tuple.
main		Implements python -m pyquickhelper <command> <args>.
restapi_load		Loads the model. The model name is relative to this file. When call by a REST API, the default value is always used. …
restapi_load		Loads the model. The model name is relative to this file. When call by a REST API, the default value is always used. …
restapi_load		Loads the model. The model name is relative to this file. When call by a REST API, the default value is always used. …
restapi_load		Loads the model. The model name is relative to this file. When call by a REST API, the default value is always used. …
restapi_predict		Computes the prediction for model clf.
restapi_predict		Computes the prediction for model clf.
restapi_predict		Computes the prediction for model clf.
restapi_predict		Computes the prediction for model clf.
restapi_version		Displays a version.
restapi_version		Displays a version.
restapi_version		Displays a version.
restapi_version		Displays a version.
start_mlrestapi		Creates an falcon application and runs it through a wsgi server.
start_mlreststor		Creates an falcon application and runs it through a wsgi server. The appplication stores machine …
string2bytes		Converts string to bytes.
submit_rest_request		Submits a request to a REST API defined by MLStoragePost.
unzip_bytes		Unzips everything from a buffer.
upload_model		Uplaods a machine learned models to a REST API defined by MLStoragePost.
zip_dict		Zips a dictionary { str: bytes }.