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MLRun basics
Using MLRun
MLRun architecture
MLRun ecosystem
MLOps development workflow
Tutorials and Examples
Quick start tutorial
Train, compare, and register models
Serving pre-trained ML/DL models
Projects and automated ML pipeline
Model monitoring and drift detection
Add MLOps to existing code
Batch inference and drift detection
Feature store example (stocks)
MLRun demos repository
MLRun cheat sheet
Installation and setup guide
Install MLRun locally using Docker
Install MLRun on Kubernetes
Install MLRun on AWS
Set up your environment
Core components
Projects and automation
Create, save, and use projects
Git best practices
Load and run projects
Run, build, and deploy functions
Build and run workflows/pipelines
CI/CD integration
Working with secrets
Serverless functions
Functions architecture
Kinds of functions (runtimes)
Dask distributed runtime
Running Dask on the cluster with MLrun
Pipelines using Dask, Kubeflow and MLRun
MPIJob and Horovod runtime
Spark Operator runtime
Nuclio real-time functions
Create and use functions
Converting notebooks to function
Attach storage to functions
Images and their usage in MLRun
Build function image
Node affinity
Managing job resources
Function Hub
Data and artifacts
Data stores
Data items
Artifacts
Model Artifacts
Feature store
Feature store overview
Feature sets
Feature set transformations
Creating and using feature vectors
Feature store end-to-end demo
Part 1: Data ingestion
Part 2: Training
Part 3: Serving
Part 4: Automated ML pipeline
Batch runs and workflows
MLRun execution context
Decorators and auto-logging
Running a task (job)
Running a multi-stage workflow
Scheduled jobs and workflows
Real-time serving pipelines (graphs)
Getting started
Use cases
Graph concepts and state machine
Model serving graph
Writing custom steps
Built-in steps
Demos and tutorials
Distributed (multi-function) pipeline example
Advanced model serving graph - notebook example
Serving graph high availability configuration
Error handling
Model monitoring
MLOps tasks
Ingest and process data
Using data sources and items
Logging datasets
Spark Operator runtime
Ingest data using the feature store
Ingest features with Spark
Develop and train models
Model training and tracking
Create a basic training job
Working with data and model artifacts
Automated experiment tracking
Using the built-in training function
Hyperparameter tuning optimization
Training with the feature store
Deploy models and applications
Real-time serving
Using built-in model serving classes
Build your own model serving class
Test and deploy a model server
Model serving API
Serving with the feature store
Batch inference
Canary and rolling upgrades
Monitor and alert
Model monitoring overview
Enable model monitoring
References
API index
API by module
mlrun.frameworks
AutoMLRun
TensorFlow.Keras
PyTorch
SciKit-Learn
XGBoost
LightGBM
mlrun
mlrun.artifacts
mlrun.config
mlrun.datastore
mlrun.db
mlrun.execution
mlrun.feature_store
mlrun.model
mlrun.platforms
mlrun.projects
mlrun.run
mlrun.runtimes
mlrun.serving
storey.transformations - Graph transformations
Command-Line Interface
Glossary
Change log
Change log
repository
open issue
API index
Index
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C
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D
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E
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F
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G
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H
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I
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J
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K
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L
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M
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N
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O
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P
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Q
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R
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S
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T
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U
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V
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W
_
__init__() (mlrun.feature_store.steps.DateExtractor method)
(mlrun.feature_store.steps.DropFeatures method)
(mlrun.feature_store.steps.FeaturesetValidator method)
(mlrun.feature_store.steps.Imputer method)
(mlrun.feature_store.steps.MapValues method)
(mlrun.feature_store.steps.MLRunStep method)
(mlrun.feature_store.steps.OneHotEncoder method)
(mlrun.feature_store.steps.SetEventMetadata method)
(mlrun.serving.remote.BatchHttpRequests method)
(mlrun.serving.remote.RemoteStep method)
A
abort_run() (mlrun.db.httpdb.HTTPRunDB method)
add_aggregation() (mlrun.feature_store.FeatureSet method)
add_child_function() (mlrun.runtimes.ServingRuntime method)
add_entity() (mlrun.feature_store.FeatureSet method)
add_feature() (mlrun.feature_store.FeatureSet method)
add_model() (mlrun.runtimes.ServingRuntime method)
add_nuclio_trigger() (mlrun.datastore.HttpSource method)
(mlrun.datastore.KafkaSource method)
(mlrun.datastore.StreamSource method)
add_route() (mlrun.serving.RouterStep method)
add_secrets_config_to_spec() (mlrun.runtimes.RemoteRuntime method)
(mlrun.runtimes.ServingRuntime method)
add_trigger() (mlrun.runtimes.RemoteRuntime method)
add_v3io_stream_trigger() (mlrun.runtimes.RemoteRuntime method)
add_volume() (mlrun.runtimes.RemoteRuntime method)
add_writer_step() (mlrun.datastore.CSVTarget method)
(mlrun.datastore.ParquetTarget method)
(mlrun.datastore.StreamTarget method)
AggregateByKey (class in storey.transformations)
all() (mlrun.run.RunStatuses static method)
annotations (mlrun.execution.MLClientCtx property)
api_call() (mlrun.db.httpdb.HTTPRunDB method)
apply() (mlrun.feature_store.RunConfig method)
apply_mlrun() (in module mlrun.frameworks.lgbm)
(in module mlrun.frameworks.sklearn)
(in module mlrun.frameworks.tf_keras)
(in module mlrun.frameworks.xgboost)
(mlrun.frameworks.auto_mlrun.auto_mlrun.AutoMLRun static method)
artifact() (mlrun.model.RunObject method)
artifact_path (mlrun.projects.MlrunProject property)
artifact_subpath() (mlrun.execution.MLClientCtx method)
artifact_url (mlrun.datastore.DataItem property)
artifacts (mlrun.execution.MLClientCtx property)
(mlrun.projects.ProjectSpec property)
ArtifactType (class in mlrun)
as_df() (mlrun.datastore.CSVTarget method)
(mlrun.datastore.DataItem method)
(mlrun.datastore.ParquetTarget method)
(mlrun.datastore.StreamTarget method)
as_step() (mlrun.runtimes.BaseRuntime method)
Assert (class in storey.transformations)
async_object (mlrun.serving.QueueStep property)
(mlrun.serving.TaskStep property)
auto_mount() (in module mlrun.platforms)
AutoMLRun (class in mlrun.frameworks.auto_mlrun.auto_mlrun)
B
BaseRuntime (class in mlrun.runtimes)
Batch (class in storey.transformations)
BatchHttpRequests (class in mlrun.serving.remote)
BigQuerySource (class in mlrun.datastore)
build (mlrun.projects.ProjectSpec property)
build_config() (mlrun.projects.MlrunProject method)
(mlrun.runtimes.KubejobRuntime method)
build_function() (in module mlrun.projects)
(mlrun.projects.MlrunProject method)
build_image() (mlrun.projects.MlrunProject method)
C
Choice (class in storey.transformations)
clean_build_params() (mlrun.runtimes.BaseRuntime method)
clear_children() (mlrun.serving.RouterStep method)
clear_context() (mlrun.projects.MlrunProject method)
clear_object() (mlrun.serving.TaskStep method)
client (mlrun.runtimes.DaskCluster property)
close() (mlrun.feature_store.OnlineVectorService method)
(mlrun.runtimes.DaskCluster method)
cluster() (mlrun.runtimes.DaskCluster method)
code_to_function() (in module mlrun)
(in module mlrun.run)
commit() (mlrun.execution.MLClientCtx method)
Config (class in mlrun.config)
connect() (mlrun.db.httpdb.HTTPRunDB method)
context (mlrun.projects.MlrunProject property)
copy() (mlrun.feature_store.RunConfig method)
create_feature_set() (mlrun.db.httpdb.HTTPRunDB method)
create_feature_vector() (mlrun.db.httpdb.HTTPRunDB method)
create_graph_server() (in module mlrun.serving)
create_hub_source() (mlrun.db.httpdb.HTTPRunDB method)
create_model_endpoint() (mlrun.db.httpdb.HTTPRunDB method)
create_project() (mlrun.db.httpdb.HTTPRunDB method)
create_project_secrets() (mlrun.db.httpdb.HTTPRunDB method)
create_remote() (mlrun.projects.MlrunProject method)
create_schedule() (mlrun.db.httpdb.HTTPRunDB method)
create_user_secrets() (mlrun.db.httpdb.HTTPRunDB method)
CSVSource (class in mlrun.datastore)
CSVTarget (class in mlrun.datastore)
CurrentOpenWindow (mlrun.feature_store.FixedWindowType attribute)
D
DaskCluster (class in mlrun.runtimes)
DataItem (class in mlrun.datastore)
DataSource (class in mlrun.model)
DataTarget (class in mlrun.model)
DataTargetBase (class in mlrun.model)
DateExtractor (class in mlrun.feature_store.steps)
dbpath (mlrun.config.Config property)
decode_base64_config_and_load_to_object() (mlrun.config.Config static method)
default_image (mlrun.projects.MlrunProject property)
(mlrun.runtimes.RemoteSparkRuntime attribute)
default_shape (mlrun.serving.QueueStep attribute)
(mlrun.serving.RouterStep attribute)
del_artifact() (mlrun.db.httpdb.HTTPRunDB method)
del_artifacts() (mlrun.db.httpdb.HTTPRunDB method)
del_run() (mlrun.db.httpdb.HTTPRunDB method)
del_runs() (mlrun.db.httpdb.HTTPRunDB method)
delete() (mlrun.datastore.DataItem method)
delete_artifacts_tags() (mlrun.db.httpdb.HTTPRunDB method)
delete_feature_set() (in module mlrun.feature_store)
(mlrun.db.httpdb.HTTPRunDB method)
delete_feature_vector() (in module mlrun.feature_store)
(mlrun.db.httpdb.HTTPRunDB method)
delete_function() (mlrun.db.httpdb.HTTPRunDB method)
delete_hub_source() (mlrun.db.httpdb.HTTPRunDB method)
delete_model_endpoint() (mlrun.db.httpdb.HTTPRunDB method)
delete_objects_tag() (mlrun.db.httpdb.HTTPRunDB method)
delete_project() (mlrun.db.httpdb.HTTPRunDB method)
delete_project_secrets() (mlrun.db.httpdb.HTTPRunDB method)
delete_runtime_resources() (mlrun.db.httpdb.HTTPRunDB method)
delete_schedule() (mlrun.db.httpdb.HTTPRunDB method)
deploy() (mlrun.runtimes.DaskCluster method)
(mlrun.runtimes.KubejobRuntime method)
(mlrun.runtimes.RemoteRuntime method)
(mlrun.runtimes.RemoteSparkRuntime method)
(mlrun.runtimes.ServingRuntime method)
deploy_default_image() (mlrun.runtimes.RemoteSparkRuntime class method)
deploy_function() (in module mlrun.projects)
(mlrun.projects.MlrunProject method)
deploy_ingestion_service() (in module mlrun.feature_store)
deploy_step() (mlrun.runtimes.KubejobRuntime method)
(mlrun.runtimes.RemoteRuntime method)
description (mlrun.projects.MlrunProject property)
do() (mlrun.feature_store.steps.MLRunStep method)
do_event() (mlrun.serving.V2ModelServer method)
(mlrun.serving.VotingEnsemble method)
doc() (mlrun.runtimes.BaseRuntime method)
download() (mlrun.datastore.DataItem method)
download_object() (in module mlrun.run)
DropFeatures (class in mlrun.feature_store.steps)
dump_yaml() (mlrun.config.Config method)
E
end_time (mlrun.datastore.ParquetSource property)
Entity (class in mlrun.feature_store)
error (mlrun.run.RunStatuses attribute)
ErrorStep (class in mlrun.serving)
evaluate() (in module mlrun.frameworks.pytorch)
explain() (mlrun.serving.V2ModelServer method)
export() (mlrun.projects.MlrunProject method)
(mlrun.runtimes.BaseRuntime method)
Extend (class in storey.transformations)
extract_results_from_response() (mlrun.serving.VotingEnsemble method)
extract_type_hints_from_inputs() (mlrun.model.RunSpec method)
F
failed (mlrun.run.RunStatuses attribute)
Feature (class in mlrun.feature_store)
FeatureSet (class in mlrun.feature_store)
FeatureSetProducer (class in mlrun.model)
FeatureSetSpec (class in mlrun.feature_store.feature_set)
FeatureSetStatus (class in mlrun.feature_store.feature_set)
FeaturesetValidator (class in mlrun.feature_store.steps)
FeatureVector (class in mlrun.feature_store)
Filter (class in storey.transformations)
FixedWindowType (class in mlrun.feature_store)
FlatMap (class in storey.transformations)
Flatten() (in module storey.transformations)
ForEach (class in storey.transformations)
framework_to_apply_mlrun() (in module mlrun.frameworks.auto_mlrun.auto_mlrun)
framework_to_model_handler() (in module mlrun.frameworks.auto_mlrun.auto_mlrun)
from_dict() (mlrun.config.Config class method)
(mlrun.execution.MLClientCtx class method)
(mlrun.model.DataTargetBase class method)
from_image() (mlrun.runtimes.RemoteRuntime method)
full_image_path() (mlrun.runtimes.BaseRuntime method)
fullname (mlrun.feature_store.FeatureSet property)
function (mlrun.feature_store.RunConfig property)
function_to_module() (in module mlrun.run)
functions (mlrun.projects.ProjectSpec property)
G
get() (mlrun.datastore.DataItem method)
(mlrun.feature_store.OnlineVectorService method)
get_api_path_prefix() (mlrun.db.httpdb.HTTPRunDB static method)
get_artifact() (mlrun.projects.MlrunProject method)
get_artifact_uri() (mlrun.projects.MlrunProject method)
get_background_task() (mlrun.db.httpdb.HTTPRunDB method)
get_base_api_url() (mlrun.db.httpdb.HTTPRunDB method)
get_build_args() (mlrun.config.Config static method)
get_builder_status() (mlrun.db.httpdb.HTTPRunDB method)
get_cached_artifact() (mlrun.execution.MLClientCtx method)
get_child_context() (mlrun.execution.MLClientCtx method)
get_children() (mlrun.serving.RouterStep method)
get_code_path() (mlrun.projects.ProjectSpec method)
get_dask_options() (mlrun.datastore.ParquetTarget method)
get_dataitem() (in module mlrun.run)
(mlrun.execution.MLClientCtx method)
get_default_function_node_selector() (mlrun.config.Config method)
get_default_function_pod_requirement_resources() (mlrun.config.Config static method)
get_default_function_pod_resources() (mlrun.config.Config method)
get_default_function_security_context() (mlrun.config.Config method)
get_feature_aliases() (mlrun.feature_store.FeatureVector method)
get_feature_set() (in module mlrun.feature_store)
(mlrun.db.httpdb.HTTPRunDB method)
get_feature_vector() (in module mlrun.feature_store)
(mlrun.db.httpdb.HTTPRunDB method)
get_framework_by_class_name() (in module mlrun.frameworks.auto_mlrun.auto_mlrun)
get_framework_by_instance() (in module mlrun.frameworks.auto_mlrun.auto_mlrun)
get_full_class_args() (mlrun.serving.TaskStep method)
get_function() (mlrun.db.httpdb.HTTPRunDB method)
(mlrun.projects.MlrunProject method)
get_function_names() (mlrun.projects.MlrunProject method)
get_function_objects() (mlrun.projects.MlrunProject method)
get_hub_asset() (mlrun.db.httpdb.HTTPRunDB method)
get_hub_catalog() (mlrun.db.httpdb.HTTPRunDB method)
get_hub_item() (mlrun.db.httpdb.HTTPRunDB method)
get_hub_source() (mlrun.db.httpdb.HTTPRunDB method)
get_hub_url() (mlrun.config.Config static method)
get_input() (mlrun.execution.MLClientCtx method)
get_item_absolute_path() (mlrun.projects.MlrunProject method)
get_log() (mlrun.db.httpdb.HTTPRunDB method)
get_meta() (mlrun.execution.MLClientCtx method)
get_model() (in module mlrun.artifacts)
(mlrun.serving.V2ModelServer method)
get_model_endpoint() (mlrun.db.httpdb.HTTPRunDB method)
get_model_monitoring_file_target_path() (mlrun.config.Config method)
get_object() (in module mlrun.run)
get_offline_features() (in module mlrun.feature_store)
get_online_feature_service() (in module mlrun.feature_store)
get_or_create_ctx() (in module mlrun.run)
get_or_create_project() (in module mlrun.projects)
get_param() (mlrun.execution.MLClientCtx method)
(mlrun.projects.MlrunProject method)
(mlrun.serving.GraphContext method)
(mlrun.serving.V2ModelServer method)
get_parsed_igz_version() (mlrun.config.Config static method)
get_pipeline() (in module mlrun.run)
(mlrun.db.httpdb.HTTPRunDB method)
get_preemptible_node_selector() (mlrun.config.Config method)
get_preemptible_tolerations() (mlrun.config.Config method)
get_project() (mlrun.db.httpdb.HTTPRunDB method)
get_project_background_task() (mlrun.db.httpdb.HTTPRunDB method)
get_project_param() (mlrun.execution.MLClientCtx method)
get_remote_endpoint() (mlrun.serving.GraphContext method)
get_run_status() (mlrun.projects.MlrunProject method)
get_schedule() (mlrun.db.httpdb.HTTPRunDB method)
get_secret() (mlrun.execution.MLClientCtx method)
(mlrun.projects.MlrunProject method)
(mlrun.serving.GraphContext method)
get_secret_or_env() (in module mlrun)
get_security_context_enrichment_group_id() (mlrun.config.Config static method)
get_spark_options() (mlrun.datastore.CSVSource method)
(mlrun.datastore.CSVTarget method)
(mlrun.datastore.NoSqlTarget method)
(mlrun.datastore.ParquetSource method)
(mlrun.datastore.ParquetTarget method)
get_stats_table() (mlrun.feature_store.FeatureSet method)
(mlrun.feature_store.FeatureVector method)
get_status() (mlrun.runtimes.DaskCluster method)
get_step_class_object() (mlrun.serving.TaskStep method)
get_storage_auto_mount_params() (mlrun.config.Config static method)
get_store_resource() (in module mlrun.datastore)
(mlrun.execution.MLClientCtx method)
(mlrun.projects.MlrunProject method)
get_table_object() (mlrun.datastore.NoSqlTarget method)
get_target_path() (mlrun.feature_store.FeatureSet method)
(mlrun.feature_store.FeatureVector method)
get_url() (mlrun.runtimes.RemoteRuntime method)
get_v3io_access_key() (mlrun.config.Config method)
get_valid_function_priority_class_names() (mlrun.config.Config static method)
get_version() (in module mlrun)
gpus() (mlrun.runtimes.DaskCluster method)
graph (mlrun.feature_store.FeatureSet property)
(mlrun.serving.GraphServer property)
GraphContext (class in mlrun.serving)
GraphServer (class in mlrun.serving)
H
handler() (in module mlrun)
(in module mlrun.run)
HandlerRuntime (class in mlrun.runtimes)
has_valid_source() (mlrun.feature_store.FeatureSet method)
HTTPRunDB (class in mlrun.db.httpdb)
HttpSource (class in mlrun.datastore)
HyperParamOptions (class in mlrun.model)
I
iguazio_api_url (mlrun.config.Config property)
import_artifact() (mlrun.projects.MlrunProject method)
import_function() (in module mlrun)
(in module mlrun.run)
import_function_to_dict() (in module mlrun.run)
Imputer (class in mlrun.feature_store.steps)
in_path (mlrun.execution.MLClientCtx property)
ingest() (in module mlrun.feature_store)
init_object() (mlrun.serving.GraphServer method)
(mlrun.serving.QueueStep method)
(mlrun.serving.RouterStep method)
(mlrun.serving.TaskStep method)
init_states() (mlrun.serving.GraphServer method)
initialize() (mlrun.feature_store.OnlineVectorService method)
initialized (mlrun.runtimes.DaskCluster property)
inputs (mlrun.execution.MLClientCtx property)
(mlrun.model.RunSpec property)
inputs_type_hints (mlrun.model.RunSpec property)
invoke() (mlrun.runtimes.RemoteRuntime method)
invoke_schedule() (mlrun.db.httpdb.HTTPRunDB method)
is_api_running_on_k8s() (mlrun.config.Config method)
is_ce_mode() (mlrun.config.Config method)
is_deployed() (mlrun.runtimes.BaseRuntime method)
(mlrun.runtimes.DaskCluster method)
(mlrun.runtimes.KubejobRuntime method)
(mlrun.runtimes.LocalRuntime method)
(mlrun.runtimes.RemoteSparkRuntime method)
is_iterator() (mlrun.datastore.BigQuerySource method)
(mlrun.datastore.CSVSource method)
is_nuclio_detected() (mlrun.config.Config method)
is_offline (mlrun.datastore.CSVTarget attribute)
(mlrun.datastore.ParquetTarget attribute)
is_online (mlrun.datastore.StreamTarget attribute)
is_pip_ca_configured() (mlrun.config.Config static method)
is_preemption_nodes_configured() (mlrun.config.Config method)
is_running_as_api() (in module mlrun.config)
is_running_on_iguazio() (mlrun.config.Config static method)
is_single_file() (mlrun.datastore.CSVTarget method)
(mlrun.datastore.ParquetTarget method)
is_table (mlrun.datastore.StreamTarget attribute)
iteration (mlrun.execution.MLClientCtx property)
J
join_outputs_and_returns() (mlrun.model.RunSpec static method)
JoinWithTable (class in storey.transformations)
K
KafkaSource (class in mlrun.datastore)
key (mlrun.datastore.DataItem property)
kind (mlrun.datastore.BigQuerySource attribute)
(mlrun.datastore.CSVSource attribute)
(mlrun.datastore.CSVTarget attribute)
(mlrun.datastore.DataItem property)
(mlrun.datastore.HttpSource attribute)
(mlrun.datastore.KafkaSource attribute)
(mlrun.datastore.NoSqlTarget attribute)
(mlrun.datastore.ParquetSource attribute)
(mlrun.datastore.ParquetTarget attribute)
(mlrun.datastore.StreamSource attribute)
(mlrun.datastore.StreamTarget attribute)
(mlrun.db.httpdb.HTTPRunDB attribute)
(mlrun.execution.MLClientCtx attribute)
(mlrun.feature_store.Entity attribute)
(mlrun.feature_store.FeatureSet attribute)
(mlrun.feature_store.FeatureVector attribute)
(mlrun.projects.MlrunProject attribute)
(mlrun.runtimes.BaseRuntime attribute)
(mlrun.runtimes.DaskCluster attribute)
(mlrun.runtimes.HandlerRuntime attribute)
(mlrun.runtimes.KubejobRuntime attribute)
(mlrun.runtimes.LocalRuntime attribute)
(mlrun.runtimes.RemoteRuntime attribute)
(mlrun.runtimes.RemoteSparkRuntime attribute)
(mlrun.runtimes.ServingRuntime attribute)
(mlrun.serving.ErrorStep attribute)
(mlrun.serving.GraphServer attribute)
(mlrun.serving.QueueStep attribute)
(mlrun.serving.RouterStep attribute)
(mlrun.serving.TaskStep attribute)
KubejobRuntime (class in mlrun.runtimes)
kubernetes (mlrun.common.schemas.secret.SecretProviderName attribute)
L
labels (mlrun.execution.MLClientCtx property)
LastClosedWindow (mlrun.feature_store.FixedWindowType attribute)
link_analysis() (mlrun.feature_store.FeatureSet method)
(mlrun.feature_store.FeatureVector method)
list_artifact_tags() (mlrun.db.httpdb.HTTPRunDB method)
list_artifacts() (mlrun.db.httpdb.HTTPRunDB method)
(mlrun.projects.MlrunProject method)
list_entities() (mlrun.db.httpdb.HTTPRunDB method)
list_feature_sets() (mlrun.db.httpdb.HTTPRunDB method)
list_feature_vectors() (mlrun.db.httpdb.HTTPRunDB method)
list_features() (mlrun.db.httpdb.HTTPRunDB method)
list_functions() (mlrun.db.httpdb.HTTPRunDB method)
(mlrun.projects.MlrunProject method)
list_hub_sources() (mlrun.db.httpdb.HTTPRunDB method)
list_model_endpoints() (mlrun.db.httpdb.HTTPRunDB method)
list_models() (mlrun.projects.MlrunProject method)
list_pipelines() (in module mlrun.run)
(mlrun.db.httpdb.HTTPRunDB method)
list_project_secret_keys() (mlrun.db.httpdb.HTTPRunDB method)
list_project_secrets() (mlrun.db.httpdb.HTTPRunDB method)
list_projects() (mlrun.db.httpdb.HTTPRunDB method)
list_runs() (mlrun.db.httpdb.HTTPRunDB method)
(mlrun.projects.MlrunProject method)
list_runtime_resources() (mlrun.db.httpdb.HTTPRunDB method)
list_schedules() (mlrun.db.httpdb.HTTPRunDB method)
listdir() (mlrun.datastore.DataItem method)
load() (mlrun.serving.V2ModelServer method)
load_func_code() (in module mlrun.run)
load_model() (mlrun.frameworks.auto_mlrun.auto_mlrun.AutoMLRun static method)
load_project() (in module mlrun.projects)
local() (mlrun.datastore.DataItem method)
LocalRuntime (class in mlrun.runtimes)
log_artifact() (mlrun.execution.MLClientCtx method)
(mlrun.projects.MlrunProject method)
log_dataset() (mlrun.execution.MLClientCtx method)
(mlrun.projects.MlrunProject method)
log_iteration_results() (mlrun.execution.MLClientCtx method)
log_level (mlrun.execution.MLClientCtx property)
log_metric() (mlrun.execution.MLClientCtx method)
log_metrics() (mlrun.execution.MLClientCtx method)
log_model() (mlrun.execution.MLClientCtx method)
(mlrun.projects.MlrunProject method)
log_result() (mlrun.execution.MLClientCtx method)
log_results() (mlrun.execution.MLClientCtx method)
logged_results() (mlrun.serving.V2ModelServer method)
logger (mlrun.execution.MLClientCtx property)
logic() (mlrun.serving.VotingEnsemble method)
logs() (mlrun.model.RunObject method)
ls() (mlrun.datastore.DataItem method)
M
Map (class in storey.transformations)
MapClass (class in storey.transformations)
MapValues (class in mlrun.feature_store.steps)
MapWithState (class in storey.transformations)
mark_as_best() (mlrun.execution.MLClientCtx method)
meta (mlrun.datastore.DataItem property)
metadata (mlrun.feature_store.FeatureSet property)
(mlrun.feature_store.FeatureVector property)
(mlrun.projects.MlrunProject property)
(mlrun.runtimes.BaseRuntime property)
MLClientCtx (class in mlrun.execution)
mlrun
module
mlrun.artifacts
module
mlrun.config
module
mlrun.datastore
module
mlrun.execution
module
mlrun.feature_store
module
mlrun.feature_store.steps
module
mlrun.frameworks.auto_mlrun.auto_mlrun
module
mlrun.frameworks.lgbm
module
mlrun.frameworks.pytorch
module
mlrun.frameworks.sklearn
module
mlrun.frameworks.tf_keras
module
mlrun.frameworks.xgboost
module
mlrun.model
module
mlrun.platforms
module
mlrun.projects
module
mlrun.run
module
mlrun.runtimes
module
mlrun.serving
module
mlrun.serving.remote
module
MlrunProject (class in mlrun.projects)
MLRunStep (class in mlrun.feature_store.steps)
module
mlrun
mlrun.artifacts
mlrun.config
mlrun.datastore
mlrun.execution
mlrun.feature_store
mlrun.feature_store.steps
mlrun.frameworks.auto_mlrun.auto_mlrun
mlrun.frameworks.lgbm
mlrun.frameworks.pytorch
mlrun.frameworks.sklearn
mlrun.frameworks.tf_keras
mlrun.frameworks.xgboost
mlrun.model
mlrun.platforms
mlrun.projects
mlrun.run
mlrun.runtimes
mlrun.serving
mlrun.serving.remote
storey.transformations
mount_configmap() (in module mlrun.platforms)
mount_hostpath() (in module mlrun.platforms)
mount_pvc() (in module mlrun.platforms)
mount_s3() (in module mlrun.platforms)
mount_secret() (in module mlrun.platforms)
mount_v3io() (in module mlrun.platforms)
mount_v3io_extended() (in module mlrun.platforms)
mount_v3io_legacy() (in module mlrun.platforms)
mountdir (mlrun.projects.MlrunProject property)
(mlrun.projects.ProjectSpec property)
N
name (mlrun.projects.MlrunProject property)
(mlrun.projects.ProjectMetadata property)
new_function() (in module mlrun.run)
new_project() (in module mlrun.projects)
new_task() (in module mlrun.model)
NoSqlTarget (class in mlrun.datastore)
Notification (class in mlrun.model)
notifiers (mlrun.projects.MlrunProject property)
O
OfflineVectorResponse (class in mlrun.feature_store)
OneHotEncoder (class in mlrun.feature_store.steps)
OnlineVectorService (class in mlrun.feature_store)
open() (mlrun.datastore.DataItem method)
out_path (mlrun.execution.MLClientCtx property)
output() (mlrun.model.RunObject method)
outputs (mlrun.model.RunObject property)
(mlrun.model.RunSpec property)
P
parameters (mlrun.execution.MLClientCtx property)
params (mlrun.projects.MlrunProject property)
ParquetSource (class in mlrun.datastore)
ParquetTarget (class in mlrun.datastore)
parse_features() (mlrun.feature_store.FeatureVector method)
Partition (class in storey.transformations)
patch_feature_set() (mlrun.db.httpdb.HTTPRunDB method)
patch_feature_vector() (mlrun.db.httpdb.HTTPRunDB method)
patch_model_endpoint() (mlrun.db.httpdb.HTTPRunDB method)
patch_project() (mlrun.db.httpdb.HTTPRunDB method)
plot() (mlrun.feature_store.FeatureSet method)
(mlrun.runtimes.ServingRuntime method)
(mlrun.serving.RouterStep method)
post_init() (mlrun.serving.V2ModelServer method)
(mlrun.serving.VotingEnsemble method)
postprocess() (mlrun.serving.V2ModelServer method)
pprint() (in module mlrun.platforms)
predict() (mlrun.serving.V2ModelServer method)
prepare_image_for_deploy() (mlrun.runtimes.BaseRuntime method)
prepare_spark_df() (mlrun.datastore.CSVTarget method)
(mlrun.datastore.NoSqlTarget method)
preprocess() (mlrun.serving.V2ModelServer method)
preview() (in module mlrun.feature_store)
project (mlrun.execution.MLClientCtx property)
(mlrun.serving.GraphContext property)
ProjectMetadata (class in mlrun.projects)
ProjectSpec (class in mlrun.projects)
ProjectStatus (class in mlrun.projects)
pull() (mlrun.projects.MlrunProject method)
purge_targets() (mlrun.feature_store.FeatureSet method)
push() (mlrun.projects.MlrunProject method)
push_error() (mlrun.serving.GraphContext method)
put() (mlrun.datastore.DataItem method)
Q
QueueStep (class in mlrun.serving)
R
read_artifact() (mlrun.db.httpdb.HTTPRunDB method)
read_env() (in module mlrun.config)
read_run() (mlrun.db.httpdb.HTTPRunDB method)
refresh() (mlrun.model.RunObject method)
register_artifacts() (mlrun.projects.MlrunProject method)
ReifyMetadata (class in storey.transformations)
reload() (mlrun.config.Config static method)
(mlrun.feature_store.FeatureSet method)
(mlrun.feature_store.FeatureVector method)
(mlrun.projects.MlrunProject method)
remote_builder() (mlrun.db.httpdb.HTTPRunDB method)
remote_start() (mlrun.db.httpdb.HTTPRunDB method)
remote_status() (mlrun.db.httpdb.HTTPRunDB method)
RemoteRuntime (class in mlrun.runtimes)
RemoteSparkRuntime (class in mlrun.runtimes)
RemoteStep (class in mlrun.serving.remote)
remove_artifact() (mlrun.projects.ProjectSpec method)
remove_function() (mlrun.projects.MlrunProject method)
(mlrun.projects.ProjectSpec method)
remove_local() (mlrun.datastore.DataItem method)
remove_states() (mlrun.runtimes.ServingRuntime method)
remove_workflow() (mlrun.projects.ProjectSpec method)
resolve_chief_api_url() (mlrun.config.Config method)
resolve_kfp_url() (mlrun.config.Config method)
resolve_runs_monitoring_missing_runtime_resources_debouncing_interval() (mlrun.config.Config method)
resolve_ui_url() (mlrun.config.Config static method)
respond() (mlrun.serving.TaskStep method)
results (mlrun.execution.MLClientCtx property)
returns (mlrun.model.RunSpec property)
RouterStep (class in mlrun.serving)
routes (mlrun.serving.RouterStep property)
run() (mlrun.projects.MlrunProject method)
(mlrun.runtimes.BaseRuntime method)
(mlrun.serving.GraphServer method)
(mlrun.serving.QueueStep method)
(mlrun.serving.TaskStep method)
run_function() (in module mlrun.projects)
(mlrun.projects.MlrunProject method)
run_local() (in module mlrun.run)
run_pipeline() (in module mlrun.run)
RunConfig (class in mlrun.feature_store)
RunMetadata (class in mlrun.model)
running (mlrun.run.RunStatuses attribute)
RunObject (class in mlrun.model)
RunSpec (class in mlrun.model)
RunStatus (class in mlrun.model)
RunStatuses (class in mlrun.run)
RunTemplate (class in mlrun.model)
S
SampleWindow (class in storey.transformations)
save() (mlrun.feature_store.FeatureSet method)
(mlrun.feature_store.FeatureVector method)
(mlrun.projects.MlrunProject method)
(mlrun.runtimes.BaseRuntime method)
save_to_db() (mlrun.projects.MlrunProject method)
save_workflow() (mlrun.projects.MlrunProject method)
SecretProviderName (class in mlrun.common.schemas.secret)
SendToHttp (class in storey.transformations)
server (mlrun.serving.GraphContext property)
ServingRuntime (class in mlrun.runtimes)
set_annotation() (mlrun.execution.MLClientCtx method)
set_artifact() (mlrun.projects.MlrunProject method)
(mlrun.projects.ProjectSpec method)
set_config() (mlrun.runtimes.RemoteRuntime method)
set_current_function() (mlrun.serving.GraphServer method)
set_db_connection() (mlrun.runtimes.BaseRuntime method)
set_default_image() (mlrun.projects.MlrunProject method)
set_env_variables() (in module mlrun.platforms)
set_environment() (in module mlrun)
set_error_stream() (mlrun.serving.GraphServer method)
set_function() (mlrun.projects.MlrunProject method)
(mlrun.projects.ProjectSpec method)
set_hostname() (mlrun.execution.MLClientCtx method)
set_label() (mlrun.execution.MLClientCtx method)
(mlrun.model.RunTemplate method)
(mlrun.runtimes.BaseRuntime method)
set_logger_stream() (mlrun.execution.MLClientCtx method)
set_metric() (mlrun.serving.V2ModelServer method)
set_model_monitoring_credentials() (mlrun.projects.MlrunProject method)
set_secrets() (mlrun.projects.MlrunProject method)
set_source() (mlrun.projects.MlrunProject method)
set_state() (mlrun.execution.MLClientCtx method)
set_targets() (mlrun.feature_store.FeatureSet method)
set_topology() (mlrun.runtimes.ServingRuntime method)
set_tracking() (mlrun.runtimes.ServingRuntime method)
set_workflow() (mlrun.projects.MlrunProject method)
(mlrun.projects.ProjectSpec method)
SetEventMetadata (class in mlrun.feature_store.steps)
show() (mlrun.datastore.DataItem method)
(mlrun.model.RunObject method)
skipped (mlrun.run.RunStatuses attribute)
sleep() (in module mlrun.platforms)
source (mlrun.projects.MlrunProject property)
(mlrun.projects.ProjectSpec property)
spec (mlrun.feature_store.FeatureSet property)
(mlrun.feature_store.FeatureVector property)
(mlrun.projects.MlrunProject property)
(mlrun.runtimes.BaseRuntime property)
(mlrun.runtimes.DaskCluster property)
(mlrun.runtimes.RemoteRuntime property)
(mlrun.runtimes.RemoteSparkRuntime property)
(mlrun.runtimes.ServingRuntime property)
stable_statuses() (mlrun.run.RunStatuses static method)
start_time (mlrun.datastore.ParquetSource property)
stat() (mlrun.datastore.DataItem method)
state (mlrun.execution.MLClientCtx property)
state() (mlrun.model.RunObject method)
status (mlrun.feature_store.FeatureSet property)
(mlrun.feature_store.FeatureVector property)
(mlrun.feature_store.OfflineVectorResponse property)
(mlrun.feature_store.OnlineVectorService property)
(mlrun.projects.MlrunProject property)
(mlrun.runtimes.BaseRuntime property)
(mlrun.runtimes.DaskCluster property)
(mlrun.runtimes.RemoteRuntime property)
store (mlrun.datastore.DataItem property)
store_artifact() (mlrun.db.httpdb.HTTPRunDB method)
store_feature_set() (mlrun.db.httpdb.HTTPRunDB method)
store_feature_vector() (mlrun.db.httpdb.HTTPRunDB method)
store_function() (mlrun.db.httpdb.HTTPRunDB method)
store_hub_source() (mlrun.db.httpdb.HTTPRunDB method)
store_log() (mlrun.db.httpdb.HTTPRunDB method)
store_project() (mlrun.db.httpdb.HTTPRunDB method)
store_run() (mlrun.db.httpdb.HTTPRunDB method)
(mlrun.execution.MLClientCtx method)
(mlrun.runtimes.BaseRuntime method)
storey.transformations
module
StreamSource (class in mlrun.datastore)
StreamTarget (class in mlrun.datastore)
submit_job() (mlrun.db.httpdb.HTTPRunDB method)
submit_pipeline() (mlrun.db.httpdb.HTTPRunDB method)
succeeded (mlrun.run.RunStatuses attribute)
suffix (mlrun.datastore.CSVTarget attribute)
(mlrun.datastore.DataItem property)
support_append (mlrun.datastore.ParquetTarget attribute)
(mlrun.datastore.StreamTarget attribute)
support_dask (mlrun.datastore.ParquetTarget attribute)
support_spark (mlrun.datastore.BigQuerySource attribute)
(mlrun.datastore.CSVSource attribute)
(mlrun.datastore.CSVTarget attribute)
(mlrun.datastore.NoSqlTarget attribute)
(mlrun.datastore.ParquetSource attribute)
(mlrun.datastore.ParquetTarget attribute)
(mlrun.datastore.StreamTarget attribute)
support_storey (mlrun.datastore.BigQuerySource attribute)
(mlrun.datastore.CSVSource attribute)
(mlrun.datastore.CSVTarget attribute)
(mlrun.datastore.ParquetSource attribute)
(mlrun.datastore.ParquetTarget attribute)
(mlrun.datastore.StreamTarget attribute)
sync_functions() (mlrun.projects.MlrunProject method)
T
tag (mlrun.execution.MLClientCtx property)
tag_artifacts() (mlrun.db.httpdb.HTTPRunDB method)
tag_objects() (mlrun.db.httpdb.HTTPRunDB method)
TargetPathObject (class in mlrun.model)
TaskStep (class in mlrun.serving)
test() (mlrun.serving.GraphServer method)
to_csv() (mlrun.feature_store.OfflineVectorResponse method)
to_dataframe() (mlrun.datastore.BigQuerySource method)
(mlrun.datastore.CSVSource method)
(mlrun.datastore.KafkaSource method)
(mlrun.datastore.ParquetSource method)
(mlrun.feature_store.FeatureSet method)
(mlrun.feature_store.FeatureVector method)
(mlrun.feature_store.OfflineVectorResponse method)
to_dict() (mlrun.config.Config method)
(mlrun.execution.MLClientCtx method)
(mlrun.model.RunSpec method)
(mlrun.runtimes.BaseRuntime method)
to_function() (mlrun.feature_store.RunConfig method)
to_job() (mlrun.runtimes.LocalRuntime method)
to_json() (mlrun.execution.MLClientCtx method)
to_mock_server() (mlrun.runtimes.ServingRuntime method)
to_parquet() (mlrun.feature_store.OfflineVectorResponse method)
to_qbk_fixed_window_type() (mlrun.feature_store.FixedWindowType method)
to_spark_df() (mlrun.datastore.BigQuerySource method)
(mlrun.datastore.CSVSource method)
to_step() (mlrun.datastore.CSVSource method)
(mlrun.datastore.ParquetSource method)
to_yaml() (mlrun.execution.MLClientCtx method)
ToDataFrame (class in storey.transformations)
train() (in module mlrun.frameworks.pytorch)
transient_statuses() (mlrun.run.RunStatuses static method)
trigger_migrations() (mlrun.db.httpdb.HTTPRunDB method)
try_auto_mount_based_on_config() (mlrun.runtimes.BaseRuntime method)
U
ui_url (mlrun.model.RunObject property)
uid (mlrun.execution.MLClientCtx property)
uid() (mlrun.model.RunObject method)
update() (mlrun.config.Config method)
update_artifact() (mlrun.execution.MLClientCtx method)
update_child_iterations() (mlrun.execution.MLClientCtx method)
update_model() (in module mlrun.artifacts)
update_run() (mlrun.db.httpdb.HTTPRunDB method)
update_schedule() (mlrun.db.httpdb.HTTPRunDB method)
update_targets_for_ingest() (mlrun.feature_store.FeatureSet method)
upload() (mlrun.datastore.DataItem method)
uri (mlrun.feature_store.FeatureSet property)
(mlrun.feature_store.FeatureVector property)
(mlrun.runtimes.BaseRuntime property)
url (mlrun.datastore.DataItem property)
use_nuclio_mock() (mlrun.config.Config method)
V
V2ModelServer (class in mlrun.serving)
v3io_cred() (in module mlrun.platforms)
validate() (mlrun.serving.V2ModelServer method)
(mlrun.serving.VotingEnsemble method)
validate_and_enrich_service_account() (mlrun.runtimes.BaseRuntime method)
validate_project_name() (mlrun.projects.ProjectMetadata static method)
validate_steps() (mlrun.feature_store.FeatureSet method)
validator (mlrun.feature_store.Feature property)
vault (mlrun.common.schemas.secret.SecretProviderName attribute)
verify_authorization() (mlrun.db.httpdb.HTTPRunDB method)
verify_base_image() (mlrun.runtimes.BaseRuntime method)
verify_security_context_enrichment_mode_is_allowed() (mlrun.config.Config method)
version (mlrun.config.Config property)
VolumeMount (in module mlrun.platforms)
VotingEnsemble (class in mlrun.serving)
W
wait_for_completion() (mlrun.model.RunObject method)
(mlrun.serving.GraphServer method)
wait_for_pipeline_completion() (in module mlrun.run)
wait_for_runs_completion() (in module mlrun.run)
watch_log() (mlrun.db.httpdb.HTTPRunDB method)
watch_stream() (in module mlrun.platforms)
with_annotations() (mlrun.runtimes.RemoteRuntime method)
with_code() (mlrun.runtimes.BaseRuntime method)
with_commands() (mlrun.runtimes.BaseRuntime method)
with_http() (mlrun.runtimes.RemoteRuntime method)
with_hyper_params() (mlrun.model.RunTemplate method)
with_input() (mlrun.model.RunTemplate method)
with_limits() (mlrun.runtimes.DaskCluster method)
with_node_selection() (mlrun.runtimes.RemoteRuntime method)
with_param_file() (mlrun.model.RunTemplate method)
with_params() (mlrun.model.RunTemplate method)
with_preemption_mode() (mlrun.runtimes.RemoteRuntime method)
with_priority_class() (mlrun.runtimes.RemoteRuntime method)
with_requests() (mlrun.runtimes.DaskCluster method)
with_requirements() (mlrun.runtimes.BaseRuntime method)
with_scheduler_limits() (mlrun.runtimes.DaskCluster method)
with_scheduler_requests() (mlrun.runtimes.DaskCluster method)
with_secret() (mlrun.feature_store.RunConfig method)
with_secrets() (mlrun.model.RunTemplate method)
(mlrun.projects.MlrunProject method)
(mlrun.runtimes.ServingRuntime method)
with_security_context() (mlrun.runtimes.RemoteSparkRuntime method)
with_service_type() (mlrun.runtimes.RemoteRuntime method)
with_source_archive() (mlrun.runtimes.KubejobRuntime method)
(mlrun.runtimes.LocalRuntime method)
(mlrun.runtimes.RemoteRuntime method)
with_spark_service() (mlrun.runtimes.RemoteSparkRuntime method)
with_v3io() (mlrun.runtimes.RemoteRuntime method)
with_worker_limits() (mlrun.runtimes.DaskCluster method)
with_worker_requests() (mlrun.runtimes.DaskCluster method)
workflows (mlrun.projects.MlrunProject property)
(mlrun.projects.ProjectSpec property)
writer_step_name (mlrun.datastore.NoSqlTarget attribute)