Machine Learning

Machine learning.

ml cluster xy_scatterml cluster loadml cluster load_from_jsonml cluster existml cluster showml cluster nbml cluster nb_pointml cluster pointsml cluster point_getml cluster point_deleteml cluster point_addml cluster point_updateml cluster distanceml cluster closeml cluster close_allml h_node load_from_jsonml h_node add_problemml h_node predictml h_node existml h_node exist_problemml h_node showml h_node show_problemml h_node close_problemml h_node closeml h_node close_all

ml cluster xy_scatter <clusterId>

Description

Show a machine learning scatter

Parameters

clusterId: The cluster id - string - required

admin
ml cluster xy_scatter "cluster1";

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ml cluster load <clusterId> <cmId> <fieldX> <fieldY> <maximumRadius> <minPoint> <sqlSource>

Description

Load a cluster from the database

Parameters

clusterId: The cluster id - string - required
cmId: The database connection id - string - required
fieldX: The field X - string - required
fieldY: The field X - string - required
maximumRadius: The maximum radius - string - required
minPoint: The minimun of points - string - required
sqlSource: The select query (origin) - string - required

admin
ml cluster load "cluster1" "demo_cm_mysql" "id" "quantity" 5 3 "select * from products limit 0, 500";

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ml cluster load_from_json <clusterId> <maximumRadius> <minPoint> <jsonArray>

Description

Load a cluster from a json array

Parameters

clusterId: The cluster id - string - required
maximumRadius: The maximum radius - string - required
minPoint: The minimun of points - string - required
jsonArray: The json array - string - required

admin
ml cluster load_from_json "cluster1" 1 2 "[
  [1.0, 2.0],
  [1.0, 2.2],
  [1.0, 2.5],
  [1.2, 2.0],
  [1.11, 0.9],
  [5.0, 3.0],
  [5.2, 3.08],
  [5.1, 3.0],
  [5.15, 2.9],
  [3.0, 2.0],
  [3.2, 2.08],
  [3.1, 2.0],
  [3.15, 1.9]
]";

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ml cluster exist <clusterId>

Description

Check if a cluster already exist

Parameters

clusterId: The cluster id - string - required

admin
ml cluster exist "cluster1"

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1

ml cluster show

Description

Show all clusters

admin
ml cluster show

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ml cluster nb <clusterId>

Description

Get the number of cluster

Parameters

clusterId: The cluster id - string - required

admin
ml cluster nb "cluster1"

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3

ml cluster nb_point <clusterId> <clusterIndex>

Description

Get the number of points in a cluster

Parameters

clusterId: The cluster id - string - required
clusterIndex: The cluster index - string - required

admin
ml cluster nb_point "cluster1" 0

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5

ml cluster points <clusterId> <clusterIndex>

Description

Get all points in a cluster

Parameters

clusterId: The cluster id - string - required
clusterIndex: The cluster index - string - required

admin
ml cluster points "cluster1" 0

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ml cluster point_get <clusterId> <clusterIndex> <pointIndex>

Description

Get a point in a cluster

Parameters

clusterId: The cluster id - string - required
clusterIndex: The cluster index - string - required
pointIndex: The point index - string - required

admin
ml cluster point_get "cluster1" 0 0

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ml cluster point_delete <clusterId> <clusterIndex> <pointIndex>

Description

Get a point in a cluster

Parameters

clusterId: The cluster id - string - required
clusterIndex: The cluster index - string - required
pointIndex: The point index - string - required

admin
ml cluster point_delete "cluster1" 0 0;

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ml cluster point_add <clusterId> <clusterIndex> <x> <y>

Description

Add a point in a cluster

Parameters

clusterId: The cluster id - string - required
clusterIndex: The cluster index - string - required
x: The x - string - required
y: The y - string - required

admin
ml cluster point_add "cluster1" 0 5 6;

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ml cluster point_update <clusterId> <clusterIndex> <pointIndex> <x> <y>

Description

Update a point in a cluster

Parameters

clusterId: The cluster id - string - required
clusterIndex: The cluster index - string - required
pointIndex: The point index - string - required
x: The x - string - required
y: The y - string - required

admin
ml cluster point_update "cluster1" 0 0 5 6;

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ml cluster distance <clusterId> <x1> <y1> <x2> <y2>

Description

Get the distance between two points

Parameters

clusterId: The cluster id - string - required
x1: The x1 value - string - required
y1: The y1 value - string - required
x2: The x2 value - string - required
y2: The y2 value - string - required

admin
ml cluster distance "cluster1" 1 2 4 7

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3

ml cluster close <clusterId>

Description

Close a cluster

Parameters

clusterId: The cluster id - string - required

admin
ml cluster close "cluster1";

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1

ml cluster close_all

Description

Close all clusters

admin
ml cluster close_all;

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1

ml h_node load_from_json <hId> <isDirect> <jsonArray>

Description

Load heuristic node objects from json

Parameters

hId: The heuristic id - string - required
isDirect: Is direct ? - boolean - required
jsonArray: The JSON data array - string - required

admin
ml h_node load_from_json "hid1" true "[
  [ \"A\", \"B\", 2 ],
  [ \"A\", \"C\", 4 ],
  [ \"D\", \"A\", 1 ],
  [ \"A\", \"D\", 3 ],
  [ \"E\", \"F\", 4 ],
  [ \"D\", \"F\", 2 ],
  [ \"G\", \"H\", 1 ],
  [ \"F\", \"H\", 5 ],
  [ \"F\", \"I\", 7 ],
  [ \"J\", \"I\", 2 ]
]";

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ml h_node add_problem <hId> <problemId> <from>

Description

Add a new problem

Parameters

hId: The heuristic id - string - required
problemId: The problem id - string - required
from: The origin to search - string - required

admin
ml h_node add_problem "hid1" "probId1" "A";

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1

ml h_node predict <hId> <problemId> <algorithm> <to> <param>

Description

Predict the best path

Parameters

hId: The heuristic id - string - required
problemId: The problem id - string - required
algorithm: The algorithm (dijkstra|a_star|bellman_ford|breadth_first_search|depth_first_search|depth_limited_search|i_d_a_star|multi_objective_l_s|hill_climbing) - string - required
to: The origin to search - string - required
param: The algorithm param (integer for 'depth_limited_search', boolean for 'hill_climbing') - string - required

admin
ml h_node predict "hid1" "probId1" "dijkstra|a_star|bellman_ford|breadth_first_search|depth_first_search|depth_limited_search|i_d_a_star|multi_objective_l_s|hill_climbing" "I" null

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ml h_node exist <hId>

Description

Check if a heuristic node object already exist

Parameters

hId: The heuristic id - string - required

admin
ml h_node exist "hid1"

mentdb
1

ml h_node exist_problem <hId> <problemId>

Description

Check if a problem already exist

Parameters

hId: The heuristic id - string - required
problemId: The problem id - string - required

admin
ml h_node exist_problem "hid1" "probId1"

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1

ml h_node show

Description

Show all heuristic node objects

admin
ml h_node show

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ml h_node show_problem <hId>

Description

Show all problems into a heuristic object

Parameters

hId: The heuristic id - string - required

admin
ml h_node show_problem "hid1"

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ml h_node close_problem <hId> <problemId>

Description

Close a problem

Parameters

hId: The heuristic id - string - required
problemId: The problem id - string - required

admin
ml h_node close_problem "hid1" "probId1";

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1

ml h_node close <hId>

Description

Close a heuristic node object

Parameters

hId: The heuristic id - string - required

admin
ml h_node close "hid1";

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1

ml h_node close_all

Description

Close all heuristic node objects

admin
ml h_node close_all;

mentdb
1