module LightGBM class Dataset attr_reader :data, :params def initialize(data, label: nil, weight: nil, group: nil, params: nil, reference: nil, used_indices: nil, categorical_feature: "auto") @data = data # TODO stringify params params ||= {} params["categorical_feature"] ||= categorical_feature.join(",") if categorical_feature != "auto" set_verbosity(params) @handle = ::FFI::MemoryPointer.new(:pointer) parameters = params_str(params) reference = reference.handle_pointer if reference if used_indices used_row_indices = ::FFI::MemoryPointer.new(:int32, used_indices.count) used_row_indices.put_array_of_int32(0, used_indices) check_result FFI.LGBM_DatasetGetSubset(reference, used_row_indices, used_indices.count, parameters, @handle) elsif data.is_a?(String) check_result FFI.LGBM_DatasetCreateFromFile(data, parameters, reference, @handle) else if matrix?(data) nrow = data.row_count ncol = data.column_count flat_data = data.to_a.flatten elsif daru?(data) nrow, ncol = data.shape flat_data = data.each_vector.map(&:to_a).flatten elsif narray?(data) nrow, ncol = data.shape flat_data = data.flatten.to_a else nrow = data.count ncol = data.first.count flat_data = data.flatten end c_data = ::FFI::MemoryPointer.new(:float, nrow * ncol) c_data.put_array_of_float(0, flat_data) check_result FFI.LGBM_DatasetCreateFromMat(c_data, 0, nrow, ncol, 1, parameters, reference, @handle) end ObjectSpace.define_finalizer(self, self.class.finalize(handle_pointer)) unless used_indices self.label = label if label self.weight = weight if weight self.group = group if group end def label field("label") end def weight field("weight") end def label=(label) set_field("label", label) end def weight=(weight) set_field("weight", weight) end def group=(group) set_field("group", group, type: :int32) end def num_data out = ::FFI::MemoryPointer.new(:int) check_result FFI.LGBM_DatasetGetNumData(handle_pointer, out) out.read_int end def num_feature out = ::FFI::MemoryPointer.new(:int) check_result FFI.LGBM_DatasetGetNumFeature(handle_pointer, out) out.read_int end def save_binary(filename) check_result FFI.LGBM_DatasetSaveBinary(handle_pointer, filename) end # not released yet # def dump_text(filename) # check_result FFI.LGBM_DatasetDumpText(handle_pointer, filename) # end def subset(used_indices, params: nil) # categorical_feature passed via params params ||= self.params Dataset.new(nil, params: params, reference: self, used_indices: used_indices ) end def handle_pointer @handle.read_pointer end def self.finalize(pointer) # must use proc instead of stabby lambda proc { FFI.LGBM_DatasetFree(pointer) } end private def field(field_name) num_data = self.num_data out_len = ::FFI::MemoryPointer.new(:int) out_ptr = ::FFI::MemoryPointer.new(:float, num_data) out_type = ::FFI::MemoryPointer.new(:int) check_result FFI.LGBM_DatasetGetField(handle_pointer, field_name, out_len, out_ptr, out_type) out_ptr.read_pointer.read_array_of_float(num_data) end def set_field(field_name, data, type: :float) data = data.to_a unless data.is_a?(Array) if type == :int32 c_data = ::FFI::MemoryPointer.new(:int32, data.count) c_data.put_array_of_int32(0, data) check_result FFI.LGBM_DatasetSetField(handle_pointer, field_name, c_data, data.count, 2) else c_data = ::FFI::MemoryPointer.new(:float, data.count) c_data.put_array_of_float(0, data) check_result FFI.LGBM_DatasetSetField(handle_pointer, field_name, c_data, data.count, 0) end end def matrix?(data) defined?(Matrix) && data.is_a?(Matrix) end def daru?(data) defined?(Daru::DataFrame) && data.is_a?(Daru::DataFrame) end def narray?(data) defined?(Numo::NArray) && data.is_a?(Numo::NArray) end include Utils end end