Class: Classifier::Linalg::Matrix

Inherits:
Object
  • Object
show all
Defined in:
ext/classifier/matrix.c

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

._load(str) ⇒ Object

Matrix._load for Marshal



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# File 'ext/classifier/matrix.c', line 357

static VALUE rb_cmatrix_s_load(VALUE klass, VALUE str)
{
    VALUE ary = rb_marshal_load(str);
    long argc = RARRAY_LEN(ary);
    VALUE *argv = RARRAY_PTR(ary);
    return rb_cmatrix_s_alloc((int)argc, argv, klass);
}

.alloc(*args) ⇒ Object

Matrix.alloc(*rows) Create a new matrix from nested arrays



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# File 'ext/classifier/matrix.c', line 114

static VALUE rb_cmatrix_s_alloc(int argc, VALUE *argv, VALUE klass)
{
    CMatrix *m;
    VALUE result;

    if (argc == 0) {
        rb_raise(rb_eArgError, "Matrix.alloc requires at least one row");
    }

    /* Handle single array argument containing rows */
    VALUE rows_ary;
    if (argc == 1 && RB_TYPE_P(argv[0], T_ARRAY)) {
        VALUE first = rb_ary_entry(argv[0], 0);
        if (RB_TYPE_P(first, T_ARRAY)) {
            rows_ary = argv[0];
        } else {
            /* Single row */
            rows_ary = rb_ary_new_from_values(argc, argv);
        }
    } else {
        rows_ary = rb_ary_new_from_values(argc, argv);
    }

    long num_rows = RARRAY_LEN(rows_ary);
    if (num_rows == 0) {
        rb_raise(rb_eArgError, "Matrix cannot be empty");
    }

    VALUE first_row = rb_ary_entry(rows_ary, 0);
    long num_cols = RARRAY_LEN(first_row);

    m = cmatrix_alloc((size_t)num_rows, (size_t)num_cols);

    for (long i = 0; i < num_rows; i++) {
        VALUE row = rb_ary_entry(rows_ary, i);
        if (RARRAY_LEN(row) != num_cols) {
            cmatrix_free(m);
            rb_raise(rb_eArgError, "All rows must have the same length");
        }
        for (long j = 0; j < num_cols; j++) {
            MAT_AT(m, i, j) = NUM2DBL(rb_ary_entry(row, j));
        }
    }

    result = TypedData_Wrap_Struct(klass, &cmatrix_type, m);
    return result;
}

.diag(arg) ⇒ Object

Matrix.diag(vector_or_array) Create diagonal matrix from vector



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# File 'ext/classifier/matrix.c', line 166

static VALUE rb_cmatrix_s_diag(VALUE klass, VALUE arg)
{
    CVector *v;
    CMatrix *m;
    int free_v = 0;

    if (rb_obj_is_kind_of(arg, cClassifierVector)) {
        GET_CVECTOR(arg, v);
    } else if (RB_TYPE_P(arg, T_ARRAY)) {
        long len = RARRAY_LEN(arg);
        v = cvector_alloc((size_t)len);
        free_v = 1;
        for (long i = 0; i < len; i++) {
            v->data[i] = NUM2DBL(rb_ary_entry(arg, i));
        }
    } else {
        rb_raise(rb_eTypeError, "Expected Vector or Array");
        return Qnil;
    }

    m = cmatrix_diagonal(v);
    if (free_v) cvector_free(v);

    return TypedData_Wrap_Struct(klass, &cmatrix_type, m);
}

.diagonal(arg) ⇒ Object

Matrix.diag(vector_or_array) Create diagonal matrix from vector



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# File 'ext/classifier/matrix.c', line 166

static VALUE rb_cmatrix_s_diag(VALUE klass, VALUE arg)
{
    CVector *v;
    CMatrix *m;
    int free_v = 0;

    if (rb_obj_is_kind_of(arg, cClassifierVector)) {
        GET_CVECTOR(arg, v);
    } else if (RB_TYPE_P(arg, T_ARRAY)) {
        long len = RARRAY_LEN(arg);
        v = cvector_alloc((size_t)len);
        free_v = 1;
        for (long i = 0; i < len; i++) {
            v->data[i] = NUM2DBL(rb_ary_entry(arg, i));
        }
    } else {
        rb_raise(rb_eTypeError, "Expected Vector or Array");
        return Qnil;
    }

    m = cmatrix_diagonal(v);
    if (free_v) cvector_free(v);

    return TypedData_Wrap_Struct(klass, &cmatrix_type, m);
}

Instance Method Details

#*(other) ⇒ Object

Matrix#* - multiply with matrix or vector



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# File 'ext/classifier/matrix.c', line 318

static VALUE rb_cmatrix_mul(VALUE self, VALUE other)
{
    CMatrix *m;
    GET_CMATRIX(self, m);

    if (rb_obj_is_kind_of(other, cClassifierMatrix)) {
        CMatrix *b;
        GET_CMATRIX(other, b);
        CMatrix *result = cmatrix_multiply(m, b);
        return TypedData_Wrap_Struct(cClassifierMatrix, &cmatrix_type, result);
    } else if (rb_obj_is_kind_of(other, cClassifierVector)) {
        CVector *v;
        GET_CVECTOR(other, v);
        CVector *result = cmatrix_multiply_vector(m, v);
        return TypedData_Wrap_Struct(cClassifierVector, &cvector_type, result);
    } else if (RB_TYPE_P(other, T_FLOAT) || RB_TYPE_P(other, T_FIXNUM)) {
        /* Scalar multiplication */
        double scalar = NUM2DBL(other);
        CMatrix *result = cmatrix_alloc(m->rows, m->cols);
        for (size_t i = 0; i < m->rows * m->cols; i++) {
            result->data[i] = m->data[i] * scalar;
        }
        return TypedData_Wrap_Struct(cClassifierMatrix, &cmatrix_type, result);
    }

    rb_raise(rb_eTypeError, "Cannot multiply Matrix with %s", rb_obj_classname(other));
    return Qnil;
}

#[](row, col) ⇒ Object

Matrix#[](i, j)



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# File 'ext/classifier/matrix.c', line 217

static VALUE rb_cmatrix_aref(VALUE self, VALUE row, VALUE col)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    long i = NUM2LONG(row);
    long j = NUM2LONG(col);

    if (i < 0) i += m->rows;
    if (j < 0) j += m->cols;
    if (i < 0 || (size_t)i >= m->rows || j < 0 || (size_t)j >= m->cols) {
        rb_raise(rb_eIndexError, "index out of bounds");
    }

    return DBL2NUM(MAT_AT(m, i, j));
}

#[]=(row, col, val) ⇒ Object

Matrix#[]=(i, j, val)



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# File 'ext/classifier/matrix.c', line 234

static VALUE rb_cmatrix_aset(VALUE self, VALUE row, VALUE col, VALUE val)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    long i = NUM2LONG(row);
    long j = NUM2LONG(col);

    if (i < 0) i += m->rows;
    if (j < 0) j += m->cols;
    if (i < 0 || (size_t)i >= m->rows || j < 0 || (size_t)j >= m->cols) {
        rb_raise(rb_eIndexError, "index out of bounds");
    }

    MAT_AT(m, i, j) = NUM2DBL(val);
    return val;
}

#_dump(depth) ⇒ Object

Matrix#_dump for Marshal



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# File 'ext/classifier/matrix.c', line 348

static VALUE rb_cmatrix_dump(VALUE self, VALUE depth)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    VALUE ary = rb_cmatrix_to_a(self);
    return rb_marshal_dump(ary, Qnil);
}

#column(col_idx) ⇒ Object

Matrix#column(n) -> Vector



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# File 'ext/classifier/matrix.c', line 261

static VALUE rb_cmatrix_column(VALUE self, VALUE col_idx)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    long j = NUM2LONG(col_idx);

    if (j < 0) j += m->cols;
    if (j < 0 || (size_t)j >= m->cols) {
        rb_raise(rb_eIndexError, "column index out of bounds");
    }

    CVector *v = cvector_alloc(m->rows);
    v->is_col = 1;
    for (size_t i = 0; i < m->rows; i++) {
        v->data[i] = MAT_AT(m, i, j);
    }

    return TypedData_Wrap_Struct(cClassifierVector, &cvector_type, v);
}

#column_size ⇒ Object

Matrix#column_size



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# File 'ext/classifier/matrix.c', line 209

static VALUE rb_cmatrix_column_size(VALUE self)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    return SIZET2NUM(m->cols);
}

#row(row_idx) ⇒ Object

Matrix#row(n) -> Vector



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# File 'ext/classifier/matrix.c', line 282

static VALUE rb_cmatrix_row(VALUE self, VALUE row_idx)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    long i = NUM2LONG(row_idx);

    if (i < 0) i += m->rows;
    if (i < 0 || (size_t)i >= m->rows) {
        rb_raise(rb_eIndexError, "row index out of bounds");
    }

    CVector *v = cvector_alloc(m->cols);
    v->is_col = 0;
    memcpy(v->data, &MAT_AT(m, i, 0), m->cols * sizeof(double));

    return TypedData_Wrap_Struct(cClassifierVector, &cvector_type, v);
}

#row_size ⇒ Object

Matrix#row_size



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# File 'ext/classifier/matrix.c', line 201

static VALUE rb_cmatrix_row_size(VALUE self)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    return SIZET2NUM(m->rows);
}

#size ⇒ Object

Matrix#size -> [rows, cols]



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# File 'ext/classifier/matrix.c', line 193

static VALUE rb_cmatrix_size(VALUE self)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    return rb_ary_new_from_args(2, SIZET2NUM(m->rows), SIZET2NUM(m->cols));
}

#to_a ⇒ Object

Matrix#to_a



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# File 'ext/classifier/matrix.c', line 301

static VALUE rb_cmatrix_to_a(VALUE self)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    VALUE ary = rb_ary_new_capa((long)m->rows);

    for (size_t i = 0; i < m->rows; i++) {
        VALUE row = rb_ary_new_capa((long)m->cols);
        for (size_t j = 0; j < m->cols; j++) {
            rb_ary_push(row, DBL2NUM(MAT_AT(m, i, j)));
        }
        rb_ary_push(ary, row);
    }
    return ary;
}

#trans ⇒ Object Also known as: transpose

Matrix#trans (transpose)



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# File 'ext/classifier/matrix.c', line 252

static VALUE rb_cmatrix_trans(VALUE self)
{
    CMatrix *m;
    GET_CMATRIX(self, m);
    CMatrix *result = cmatrix_transpose(m);
    return TypedData_Wrap_Struct(cClassifierMatrix, &cmatrix_type, result);
}