ResourceManager

Manages system resources, memory usage, and batch processing for MLSampling. Ensures constitutional compliance with resource limits.

Details

The ResourceManager provides:

• Memory usage estimation and monitoring

• Batch processing for large datasets

• Resource-aware execution strategies

Public fields

config_manager

Configuration manager instance

memory_limit_mb

Memory limit in MB Initialize Resource Manager

Methods

Public methods

• ResourceManager$new()

• ResourceManager$check_memory()

• ResourceManager$can_fit_in_memory()

• ResourceManager$estimate_raster_memory()

• ResourceManager$process_in_batches()

• ResourceManager$clone()

---

Method new()

Usage

ResourceManager$new(config_manager = NULL, memory_limit_mb = 2048)

Arguments

config_manager

Optional ConfigManager instance

memory_limit_mb

Memory limit in MB (default 2048) Check current memory usage

---

Method check_memory()

Usage

ResourceManager$check_memory()

Returns

Current memory usage in MB Validate if operation fits in memory

---

Method can_fit_in_memory()

Usage

ResourceManager$can_fit_in_memory(estimated_mb)

Arguments

estimated_mb

Estimated memory requirement

Returns

Boolean Estimate memory for raster processing

---

Method estimate_raster_memory()

Usage

ResourceManager$estimate_raster_memory(raster)

Arguments

raster

SpatRaster object

Returns

Estimated memory in MB Process data in batches

---

Method process_in_batches()

Usage

ResourceManager$process_in_batches(
  data,
  batch_fn,
  batch_size = 1000,
  combine_fn = rbind,
  progress_manager = NULL
)

Arguments

data

Data to process (vector, matrix, or list)

batch_fn

Function to apply to each batch

batch_size

Batch size

combine_fn

Function to combine results (default rbind)

progress_manager

Optional ProgressManager

Returns

Combined results

---

Method clone()

The objects of this class are cloneable with this method.

Usage

ResourceManager$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.