Model Optimization: ROCS and Kernel-PLS Regression

This cube builds a kernel Partial Least Squares (kPLS) model, using ROCS scores as descriptors. The cube assumes that pose conformers of the input molecules have been provided and only static ROCS scores are calculated to generate descriptors.

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
  • Number of features (in_features_field) type: Field Type: Int: Field containing number of features.
    Default: Features
  • Input Index (in_idx_field) type: Field Type: Int: Input record index field
    Default: Index
  • None (in_mol_field) type: Field Type: Chem.Mol:
  • Input Potency field (in_potency_field) type: Field Type: Float: Training set input potency data.
    Default: potency
  • Log Field (log_field) type: Field Type: String: The field to store messages to floe report
    Default: Log Field
  • Output actual error (out_actual_error_field) type: Field Type: Float: Actual error data field.
    Default: Actual error
  • Output error estimate (out_error_field) type: Field Type: Float: Predicted error estimate data field.
    Default: Predicted error
  • Output Potency (out_potency_field) type: Field Type: Float: Predicted potency data field.
    Default: Predicted potency
  • Validation set (test_set_field) type: Field Type: RecordVec: Input/Output validation set records vector.
    Default: Validation
  • Training set (training_set_field) type: Field Type: RecordVec: Input training set records vector.
    Default: Training

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 Optimization: ROCS and 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