Model Predictor: Kernel-PLS Regression

This cube predicts potency from a kernel PLS Regression model. The cube assumes that pose conformers of the input molecules have been provided.

Related Cubes

Calculation Parameters

  • CPUs (cpu_count) type: integer: The number of CPUs to run this cube with
    Default: 1 , Min: 1, Max: 128
  • Cube Metrics (cube_metrics) type: string: Set of metrics to be collected

    Choices: cpu, disk, memory, network
  • Temporary Disk Space (MiB) (disk_space) type: decimal: The minimum amount of disk space in MiB (1048576 B) this cube requires. Due to overhead, request a couple hundred MiB more than required.
    Default: 5120.0 , Min: 128.0, Max: 8589934592
  • GPUs (gpu_count) type: integer: The number of GPUs to run this cube with
    Default: 0 , Max: 16
  • Instance Tags (instance_tags) type: string: Only run on machines with matching tags (comma separated)
    Default: “”
  • Instance Type (instance_type) type: string: The type of instance that this cube needs to be run on
  • Max Backlog Wait (max_backlog_wait) type: integer: The max time (in seconds) that a cube will be backlogged on a group before being re-evaluated
    Default: 600 , Min: 300
  • Max Rotors (max_rotors) type: integer: Cutoff of rotatable bonds. The cube will skip molecules with rotors more than the cutoff.
    Default: 40 , Min: 1, Max: 9999
  • Memory (MiB) (memory_mb) type: decimal: The minimum amount of memory in MiBs (1048576 B) this cube requires. Due to overhead, request a couple hundred MiB more than required.
    Default: 1800 , Min: 256.0, Max: 8589934592
  • Metric Period (metric_period) type: decimal: How often to sample metrics, in seconds
    Default: 60
    Choices: 1, 5, 10, 30, 60, 120, 180, 240, 300, Min: 1, Max: 300
  • Types of model to build (model_type) type: string:
    Default: [‘ROCS-GPR’, ‘EON-GPR’, ‘CUSTOM-GPR’, ‘ROCS-KPLS’, ‘EON-KPLS’]
    Choices: ROCS-GPR, EON-GPR, CUSTOM-GPR, ROCS-KPLS, EON-KPLS
  • Thread limit per CPU (pids_per_cpu_limit) type: integer: The number of threads per CPU
    Default: 32
  • Shared Memory (MiB) (shared_memory_mb) type: decimal: The amount of shared memory to allow a container to address
    Default: 64
  • Spot policy (spot_policy) type: string: Control cube placement on spot market instances
    Default: Prohibited
    Choices: Allowed, Preferred, NotPreferred, Prohibited, Required

Field parameters

  • Extended Log Field (ext_log_field) type: Field Type: StringVec: Message extended log field
    Default: Extended Log Field
  • None (in_mol_field) type: Field Type: Chem.Mol:
  • Log Field (log_field) type: Field Type: String: The field to store messages to floe report
    Default: Log Field
  • Output dissimilarity (out_delta_field) type: Field Type: Float: Dissimilarity data field
    Default: Dissimilarity
  • Output Potency (out_potency_field) type: Field Type: Float: Predicted potency data field
    Default: Predicted Potency
  • Output probability (out_prob_field) type: Field Type: Float: Prediction probability field
    Default: Probability

Hardware Parameters

Machine hardware requirements
  • Memory (MiB) (memory_mb) type: decimal: The minimum amount of memory in MiBs (1048576 B) this cube requires. Due to overhead, request a couple hundred MiB more than required.
    Default: 1800 , Min: 256.0, Max: 8589934592
  • Shared Memory (MiB) (shared_memory_mb) type: decimal: The amount of shared memory to allow a container to address
    Default: 64
  • Thread limit per CPU (pids_per_cpu_limit) type: integer: The number of threads per CPU
    Default: 32
  • Max Backlog Wait (max_backlog_wait) type: integer: The max time (in seconds) that a cube will be backlogged on a group before being re-evaluated
    Default: 600 , Min: 300
  • Temporary Disk Space (MiB) (disk_space) type: decimal: The minimum amount of disk space in MiB (1048576 B) this cube requires. Due to overhead, request a couple hundred MiB more than required.
    Default: 5120.0 , Min: 128.0, Max: 8589934592
  • GPUs (gpu_count) type: integer: The number of GPUs to run this cube with
    Default: 0 , Max: 16
  • CPUs (cpu_count) type: integer: The number of CPUs to run this cube with
    Default: 1 , Min: 1, Max: 128
  • Instance Type (instance_type) type: string: The type of instance that this cube needs to be run on
  • Spot policy (spot_policy) type: string: Control cube placement on spot market instances
    Default: Prohibited
    Choices: Allowed, Preferred, NotPreferred, Prohibited, Required
  • Instance Tags (instance_tags) type: string: Only run on machines with matching tags (comma separated)
    Default: “”

Metrics Parameters

Cube Metric Parameters
  • Metric Period (None) type: decimal: How often to sample metrics, in seconds
    Default: 60
    Choices: 1, 5, 10, 30, 60, 120, 180, 240, 300, Min: 1, Max: 300
  • Cube Metrics (None) type: string: Set of metrics to be collected

    Choices: cpu, disk, memory, network

Parallel Model Predictor: Kernel-PLS Regression

The parallel version adds these extra parameters.

  • Number of messages to distribute at a time (item_count) type: integer: The maximum number of messages to bundle together for a parallel cube.
    Default: 1 , Min: 1, Max: 65535
  • Maximum Failures (max_failures) type: integer: The maximum number of times to attempt processing a work item
    Default: 10 , Min: 1, Max: 100
  • Autoscale this Cube (autoscale) type: boolean: If True, let Orion manage the parallelism of this Cube
    Default: True
  • Maximum number of Cubes (max_parallel) type: integer: The maximum number of concurrently running copies of this Cube
    Default: 1000 , Min: 1
  • Minimum number of Cubes (min_parallel) type: integer: The minimum number of concurrently running copies of this Cube
    Default: 0